diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..73c0118
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,12 @@
+# MATLAB Makefile
+
+FILE = simulatedMovingBed
+
+all: run clean
+
+run:
+	matlab -nodesktop -nosplash -r "cd ..; installCADET; cd $(FILE); $(FILE) quit"
+
+clean: 
+	rm *.m~
+	@echo "all cleaned up"
diff --git a/OptAlgorithms.m b/OptAlgorithms.m
index e286019..7378e92 100644
--- a/OptAlgorithms.m
+++ b/OptAlgorithms.m
@@ -6,13 +6,12 @@
 % =============================================================================
 
     properties (Constant)
-        FUNC        = @SMB.simulatedMovingBed;  % the objective function
         swarm       = 20;                       % the population amount
         sample      = 200;                      % the loop count for evolution
         dataPoint   = 1000;                     % the amount of data observation
         DE_strategy = 5;                        % the strategy of DE kernel
-        prior       = [];
-%        prior = load('prior.dat');     % load the prior distribution if possible
+        prior       = [];                       % default; no prior information
+        FUNC        = @SMB.simulatedMovingBed;  % the objective function
     end
 
 
@@ -89,7 +88,7 @@
             fprintf('****************************************************** \n');
             fprintf('Time %5.3g elapsed after %5d Iteration \n', result.optTime, result.Iteration);
             fprintf('********* Objective value: %10.3g ********** \n', yValue);
-            fprintf('%g |', xValue); fprintf('\n');
+            fprintf(' %g |', xValue); fprintf('\n');
 
         end
 
@@ -361,7 +360,7 @@
                     (ParSwarm, OptSwarm, ToplOptSwarm, k, opt);
 
                 % Abstract best information so far from the population and display it
-                xValue = exp( OptSwarm(opt.swarmSize+1, 1:opt.particleSize) );
+                xValue = exp(OptSwarm(opt.swarmSize+1, 1:opt.particleSize));
                 yValue = OptSwarm(opt.swarmSize+1, opt.particleSize+1);
 
                 fprintf('Iter = %5d   ----------------  Minimum: %10.3g  ---------------- \n', k, yValue);
@@ -395,7 +394,7 @@
             fprintf('****************************************************** \n');
             fprintf('Time %5.3g elapsed after %5d Iteration \n', result.optTime, result.Iteration);
             fprintf('********* Objective value: %10.3g ********** \n', yValue);
-            fprintf('%g |', xValue); fprintf('\n');
+            fprintf(' %g |', xValue); fprintf('\n');
 
         end
 
@@ -768,7 +767,7 @@
 
                 % If the Jacobian matrix cannot be obtained,
                 % a set of samples is used to generate R
-                [R, oldpar] = OptAlgorithms.burnInSamples(opt);
+                [R, oldpar, SS] = OptAlgorithms.burnInSamples(opt);
 
             end
 
@@ -799,8 +798,8 @@
                 newSS = feval( OptAlgorithms.FUNC, exp(newpar) );
 
                 % The Metropolis probability
-                rho12 = exp( -0.5 * (newSS - SS) / sigmaSqu) *...
-                    ( OptAlgorithms.priorPDF(newpar) / OptAlgorithms.priorPDF(oldpar) );
+                rho12 = exp( -0.5 *( (newSS - SS) / sigmaSqu + ...
+                    OptAlgorithms.priorPDF(newpar) - OptAlgorithms.priorPDF(oldpar) ) );
 
                 % The new proposal is accepted with Metropolis probability
                 if rand <= min(1, rho12)
@@ -827,24 +826,24 @@
                     newSS2 = feval( OptAlgorithms.FUNC, exp(newpar2) );
 
                     % The conventional version of calculation
-                    rho32 = exp( -0.5 * (newSS - newSS2) / sigmaSqu) * ...
-                       ( OptAlgorithms.priorPDF(newpar) / OptAlgorithms.priorPDF(newpar2) );
+                    rho32 = exp( -0.5 *( (newSS - newSS2) / sigmaSqu + ...
+                        OptAlgorithms.priorPDF(newpar) - OptAlgorithms.priorPDF(newpar2) ) );
 
-%                   q2 = exp( -0.5 * (newSS2 - SS) / sigmaSqu ) * ...
-%                       ( OptAlgorithms.priorPDF(newpar2) / OptAlgorithms.priorPDF(oldpar) );
-%                   q1 = exp( -0.5 * (norm((newpar2 - newpar) * inv(R))^2 - norm((oldpar - newpar) * inv(R))^2) );
+%                    q2 = exp( -0.5 *( (newSS2 - SS) / sigmaSqu + ...
+%                        OptAlgorithms.priorPDF(newpar2) - OptAlgorithms.priorPDF(oldpar) ) );
+%                    q1 = exp( -0.5 * (norm((newpar2 - newpar) * inv(R))^2 - norm((oldpar - newpar) * inv(R))^2) );
 
-%                   if rho32 == Inf
-%                       rho13 = 0;
-%                   else
-%                       rho13 = q1 * q2 * (1-rho32) / (1-rho12);
-%                   end
+%                    if rho32 == Inf
+%                        rho13 = 0;
+%                    else
+%                        rho13 = q1 * q2 * (1-rho32) / (1-rho12);
+%                    end
 
                     % The speed-up version of above calculation
-                    q1q2 = exp( -0.5 * ( (newSS2 - SS) / sigmaSqu + ...
-                        ( (newpar2 - newpar) * (R \ (R' \ (newpar2' - newpar')))...
-                        - (oldpar - newpar) * (R \ (R' \ (oldpar' - newpar'))) )) ) * ...
-                        ( OptAlgorithms.priorPDF(newpar2) / OptAlgorithms.priorPDF(oldpar) );
+                    q1q2 = exp( -0.5 *( (newSS2 - SS) / sigmaSqu + ...
+                        ( (newpar2 - newpar) * (R \ (R' \ (newpar2' - newpar'))) - ...
+                        (oldpar - newpar) * (R \ (R' \ (oldpar' - newpar'))) ) + ...
+                        OptAlgorithms.priorPDF(newpar2) - OptAlgorithms.priorPDF(oldpar) ) );
 
                     rho13 = q1q2 * (1 - rho32) / (1 - rho12);
 
@@ -920,7 +919,7 @@
             OptAlgorithms.FigurePlot(Population, opt);
 
             [yValue, row] = min(Population(:, opt.Nparams+1));
-            xValue        = exp( Population(row, 1:opt.Nparams) );
+            xValue        = exp(Population(row, 1:opt.Nparams));
 
             % Gather some useful information and store them
             result.optTime         = etime(clock, startTime) / 3600;
@@ -975,7 +974,7 @@
             opt.criterionTol  = 0.0001;
             opt.burn_in       = 0;
             opt.convergInt    = 100;
-            opt.rejectValue   = 10000;
+            opt.rejectValue   = 1e5;
             opt.nDataPoint    = OptAlgorithms.dataPoint;
 
             opt.Jacobian      = false; % set it false when you do not need Jacobian matrix
@@ -1020,7 +1019,7 @@
 
         end
 
-        function [R, oldpar] = burnInSamples(opt)
+        function [R, oldpar, SS] = burnInSamples(opt)
 %------------------------------------------------------------------------------
 % The routine that is used for generating samples in cases that Jocabian matrix
 % is not available
@@ -1045,10 +1044,15 @@
             ParSwarm(nullRow, :) = [];
             [~, minRow] = min(ParSwarm(:, opt.Nparams+1));
             oldpar = ParSwarm(minRow, 1:opt.Nparams);
+            SS = ParSwarm(minRow, opt.Nparams+1);
 
             % Calculate the covariance matrix
             [chaincov, ~, ~] = OptAlgorithms.covUpdate(ParSwarm(:, 1:opt.Nparams), 1, [], [], []);
 
+            if isempty(chaincov)
+                error('OptAlgorithms.burnInSamples:\n %g randomly generated samples are all rejected with opt.rejectValue = %g \n Please change your rejection value in OptAlgorithms.getOptions_MCMC function', Swarm, opt.rejectValue);
+            end
+
             % Cholesky decomposition
             R = chol( chaincov + eye(opt.Nparams) * 1e-7 );
 
@@ -1319,7 +1323,7 @@
                     % Abstract best information so far from the population and display it
                     [minValue, row] = min(states(1:opt.Nchain, opt.Nparams+1));
                     fprintf('----------------  Minimum: %3g  ---------------- \n', minValue);
-                    fprintf('%10.3g | ', exp( states(row, 1:opt.Nparams) )); fprintf('\n');
+                    fprintf('%10.3g | ', exp(states(row, 1:opt.Nparams)) ); fprintf('\n');
                 end
 
                 % PRML: Evolution of the chains
@@ -1384,7 +1388,7 @@
             OptAlgorithms.FigurePlot(Population, opt)
 
             [yValue, row] = min(Population(:,opt.Nparams+1));
-            xValue        = exp( Population(row,1:opt.Nparams) );
+            xValue        = exp(Population(row,1:opt.Nparams));
 
             % Gather some useful information and store them
             result.optTime        = etime(clock, startTime)/3600;
@@ -1558,8 +1562,9 @@
                 SS    = states(j,opt.Nparams+1);
 
                 % The Metropolis probability
-                rho = ( exp( -0.5*(newSS - SS) / sigmaSqu(j)) )^Beta(j) * ...
-                    ( OptAlgorithms.priorPDF(proposal) / OptAlgorithms.priorPDF(states(j,1:opt.Nparams)) );
+                rho = ( exp( -0.5 *( (newSS - SS) / sigmaSqu(j) + ...
+                    OptAlgorithms.priorPDF(proposal) - ...
+                    OptAlgorithms.priorPDF(states(j, 1:opt.Nparams)) ) ) )^Beta(j);
 
                 % If the proposal is accepted
                 if rand <= min(1, rho)
@@ -1833,7 +1838,7 @@
             OptAlgorithms.FigurePlot(Population, opt);
 
             [yValue, row]  = min(Population(:,opt.Nparams+1));
-            xValue         = exp( Population(row,1:opt.Nparams) );
+            xValue         = exp(Population(row,1:opt.Nparams));
 
             % Gather some useful information and store them
             result.optTime        = etime(clock,startTime) / 3600;
@@ -1958,7 +1963,7 @@
 
             % Abstract best information so far from the population and display it
             fprintf('----------------  Minimum: %g  ---------------- \n', OptPopul(opt.Nchain+1, opt.Nparams+1));
-            fprintf('%10.3g | ', exp( OptPopul(1, 1:opt.Nparams) )); fprintf('\n');
+            fprintf('%10.3g | ', exp(OptPopul(1, 1:opt.Nparams))); fprintf('\n');
 
             % In each chain, the proposal point is accepted in terms of the Metropolis probability
             for j = 1: opt.Nchain
@@ -1973,8 +1978,8 @@
                     newSS = feval( OptAlgorithms.FUNC, exp(proposal) );
                 end
 
-                rho = exp( -0.5*(newSS - SS) / sigmaSqu(j)) * ...
-                    ( OptAlgorithms.priorPDF(proposal) / OptAlgorithms.priorPDF(states(j, 1:opt.Nparams)) );
+                rho = exp( -0.5 *( (newSS - SS) / sigmaSqu(j) + ...
+                    OptAlgorithms.priorPDF(proposal) - OptAlgorithms.priorPDF(states(j, 1:opt.Nparams)) ) );
 
                 if rand <= min(1, rho)
                     states(j, 1:opt.Nparams) = proposal;
@@ -2237,12 +2242,17 @@
                 idx = floor(0.5 * opt.nsamples);
             end
 
+            if idx < length(chainData_1)
+                idx = 0;
+            end
+
             for k = 1:opt.Nchain
                 eval(sprintf('chainData_%d(1:idx, :) = [];', k));
                 Population = [Population; eval(sprintf('chainData_%d', k))];
             end
 
             save('population.dat', 'Population', '-ascii', '-append');
+
         end
 
     end % MADE
@@ -2323,7 +2333,7 @@ function FigurePlot(Population, opt)
                 return;
             end
 
-            binNum = 20;
+            binNum = 15;
             x = zeros(binNum, 3);
             [r, c] = size(OptAlgorithms.prior);
 
@@ -2365,6 +2375,7 @@ function checkOptDimension(opt, LEN)
             if length(opt.paramBound) ~= LEN
                 error('The setup of the initial boundary in SMBOptimiztion is incorrent \n');
             end
+
         end
 
         function tickLabelFormat(hAxes, axName, format)
diff --git a/SMB.m b/SMB.m
index d91d721..3272821 100644
--- a/SMB.m
+++ b/SMB.m
@@ -39,25 +39,25 @@
                 error('SMB.secColumn: There are no Initial / Boundary Conditions for the Simulator \n');
             end
 
-%           Get parameters options
+            % Get parameters options
             [opt, ~, ~] = getParameters(ParSwarm);
 
             model = ModelGRM();
             model.nComponents = opt.nComponents;
 
-%           The equilibrium isotherms
+            % The equilibrium isotherms
             if strcmp(opt.BindingModel, 'LinearBinding')
 
                 model.kineticBindingModel = false;
                 model.bindingModel = LinearBinding();
 
-%               Adsorption parameters
+                % Adsorption parameters
                 model.bindingParameters.LIN_KA   = opt.KA;
                 model.bindingParameters.LIN_KD   = opt.KD;
 
             elseif strcmp(opt.BindingModel, 'MultiComponentLangmuirBinding')
 
-                model.kineticBindingModel = true;
+                model.kineticBindingModel = false;
                 model.bindingModel = MultiComponentLangmuirBinding();
 
                 model.bindingParameters.MCL_KA   = opt.KA;
@@ -66,15 +66,15 @@
 
             elseif strcmp(opt.BindingModel, 'MultiComponentBiLangmuirBinding')
 
-                model.kineticBindingModel = true;
+                model.kineticBindingModel = false;
                 model.bindingModel = MultiComponentBiLangmuirBinding();
 
-                model.bindingParameters.MCL_KA1   = opt.KA(1);
-                model.bindingParameters.MCL_KD1   = opt.KD(1);
-                model.bindingParameters.MCL_QMAX1 = opt.QMAX(1);
-                model.bindingParameters.MCL_KA2   = opt.KA(2);
-                model.bindingParameters.MCL_KD2   = opt.KD(2);
-                model.bindingParameters.MCL_QMAX2 = opt.QMAX(2);
+                model.bindingParameters.MCBL_KA1   = opt.KA(1);
+                model.bindingParameters.MCBL_KD1   = opt.KD(1);
+                model.bindingParameters.MCBL_QMAX1 = opt.QMAX(1);
+                model.bindingParameters.MCBL_KA2   = opt.KA(2);
+                model.bindingParameters.MCBL_KD2   = opt.KD(2);
+                model.bindingParameters.MCBL_QMAX2 = opt.QMAX(2);
 
             elseif strcmp(opt.BindingModel, 'StericMassAction')
 
@@ -89,20 +89,20 @@
                 model.initialSolidConcentration  = params.initSolidCon;
             end
 
-%           Transport
+            % Transport
             model.dispersionColumn          = params.dispersionColumn;
             model.filmDiffusion             = opt.filmDiffusion;
             model.diffusionParticle         = opt.diffusionParticle;
             model.diffusionParticleSurface  = opt.diffusionParticleSurface;
             model.interstitialVelocity      = params.interstitialVelocity;
 
-%           Geometry
+            % Geometry
             model.columnLength        = opt.columnLength;
             model.particleRadius      = opt.particleRadius;
             model.porosityColumn      = opt.porosityColumn;
             model.porosityParticle    = opt.porosityParticle;
 
-%           Apply the inlet profile to the CADET model
+            % Apply the inlet profile to the CADET model
             Time = repmat({inletProfile.time}, 1, opt.nComponents);
             if opt.nComponents == 2
                 Profile = [{inletProfile.concentration(:,1)}, {inletProfile.concentration(:,2)}];
@@ -116,30 +116,30 @@
 
             model.setInletsFromData(Time, Profile);
 
-%           Turn off the warnings of the interpolation, optional
+            % Turn off the warnings of the interpolation, optional
             warning('off', 'MATLAB:interp1:ppGriddedInterpolant');
             warning('off', 'MATLAB:interp1:UsePCHIP');
 
-%           Discretization
+            % Discretization
             disc = DiscretizationGRM();
             disc.nCellsColumn   = opt.nCellsColumn;
             disc.nCellsParticle = opt.nCellsParticle;
 
-%           Solving options
+            % Solving options
             sim = Simulator(model, disc);
             sim.nThreads = opt.nThreads;
             sim.solutionTimes = inletProfile.time;
             sim.solverOptions.time_integrator.ABSTOL         = opt.ABSTOL;
             sim.solverOptions.time_integrator.INIT_STEP_SIZE = opt.INIT_STEP_SIZE;
             sim.solverOptions.time_integrator.MAX_STEPS      = opt.MAX_STEPS;
-            sim.solverOptions.WRITE_SOLUTION_ALL    = false;
+            sim.solverOptions.WRITE_SOLUTION_ALL    = true;
             sim.solverOptions.WRITE_SOLUTION_LAST   = true;
             sim.solverOptions.WRITE_SENS_LAST       = false;
             sim.solverOptions.WRITE_SOLUTION_COLUMN_OUTLET = true;
-            sim.solverOptions.WRITE_SOLUTION_COLUMN_INLET  = true;
+            sim.solverOptions.WRITE_SOLUTION_COLUMN_INLET  = false;
 
 
-%           Run the simulation
+            % Run the simulation
             try
                 result = sim.simulate();
             catch e
@@ -147,12 +147,12 @@
                 error('CADET:simulationFailed', 'Check your settings and try again. \n%s',e.message);
             end
 
-%           Extract the outlet profile
-            outletProfile.time = result.solution.time;
-            outletProfile.concentration = result.solution.outlet(:,:);
+            % Extract the outletProfile
+            outletProfile.outlet.time = result.solution.time;
+            outletProfile.outlet.concentration = result.solution.outlet(:,:);
+            outletProfile.column  = result.solution.column;
             lastState =  result.solution.lastState;
 
-
         end % secColumn
 
         function column = massConservation(currentData, interstVelocity, Feed, opt, sequence, alphabet)
@@ -242,10 +242,10 @@
                 error('SMB.massConservation: There are no enough arguments \n');
             end
 
-%           Time points
+            % Time points
             column.inlet.time = linspace(0, opt.switch, opt.timePoints);
 
-%           Translate the alphabet into the position index of SMB unit
+            % Translate the alphabet into the position index of SMB unit
             index = SMB.stringIndexing(opt, alphabet);
 
             if ~strcmp(alphabet, 'a')
@@ -254,21 +254,21 @@
                 pre_alphabet = char(stringSet(opt.nColumn));
             end
 
-%           Get the interstitial velocity of each column and boundary conditions
+            % Get the interstitial velocity of each column and boundary conditions
             params = SMB.getParams(sequence, interstVelocity, opt, index, alphabet, pre_alphabet);
 
             idx_i = sequence.(alphabet);     % the number of current column
             idx_j = sequence.(pre_alphabet); % the number of the column before
 
-%           Update the intersitial velocity, boundary conditions
+            % Update the intersitial velocity, boundary conditions
             column.params = params{idx_i};
             column.initialState = currentData{idx_i}.lastState;
-%           If DPFRs were implemented, transfer the boundary conditons between switches
+            % If DPFRs were implemented, transfer the boundary conditons between switches
             if opt.enable_DPFR
                 column.initialState_DPFR = currentData{idx_i}.lastState_DPFR;
             end
 
-%           Calculate concentration of the column due to its position in the SMB unit
+            % Calculate concentration of the column due to its position in the SMB unit
             switch index
 
                 case {'D','D1','D2'} % node DESORBENT
@@ -282,7 +282,7 @@
                             params{idx_j}.interstitialVelocity ./ params{idx_i}.interstitialVelocity;
                     end
 
-                case 'F' % node FEED in four-zone and five zone
+                case 'F' % node FEED in four-zone and five-zone
 
                     %   C_i^in = (Q_{i-1} * C_{i-1}^out + Q_F * C_F) / Q_i
                     if ~strcmp(startingPointIndex, index)
@@ -401,7 +401,7 @@
 
             global string stringSet structID dummyProfile startingPointIndex Feed2;
 
-%           Construct the string in order to tell simulator the calculation sequence
+            % Construct the string in order to tell simulator the calculation sequence
             stringSet = {'a' 'b' 'c' 'd' 'e' 'f' 'g' 'h' 'i' 'j' 'k' 'l' 'm'...
                          'n' 'o' 'p' 'q' 'r' 's' 't' 'u' 'v' 'w' 'x' 'y' 'z'...
                          'a1' 'b1' 'c1' 'd1' 'e1' 'f1' 'g1' 'h1' 'i1' 'j1' 'k1' 'l1' 'm1'...
@@ -415,8 +415,8 @@
 
             [opt, interstVelocity, Feed] = getParameters(varargin{:});
 
-%           Check the interstitial velocity, if anyone was negative, stop the simulation
-%             and assign a very big objective function value to this column configuration.
+            % Check the interstitial velocity, if anyone was negative, stop the simulation
+            %   and assign a very big objective function value to this column configuration.
             flag = SMB.interstVelocityCheck(interstVelocity, opt);
             if flag == 1
                 objective = 1e5;
@@ -436,18 +436,19 @@
             end
 
 
-%           Preallocation
+%   Preallocation
 %----------------------------------------------------------------------------------------
+            % Construct the string for simulation sequence
             string = char(stringSet(1:opt.nColumn));
 
-%           If num = 2 (4-column case), the starting point is Feed, sequence is c, d, a, b
-%               num = 0, the starting point is Desorbent (default), sequence is a, b, c, d
-%           In the 8-zone scenario, it should be careful in choosing the starting node
-%               as it is impossible to start from Feed2 node at the outset.
+            % If num = 2 (4-column case), the starting point is Feed, sequence is c, d, a, b
+            %   num = 0, the starting point is Desorbent (default), sequence is a, b, c, d
+            % In the 8-zone scenario, it should be careful in choosing the starting node
+            % as it is impossible to start from Feed2 node at the outset.
             string = circshift(string, 0);
             startingPointIndex = SMB.stringIndexing(opt, string(1));
 
-%           Initialize the starting points, currentData
+            % Initialize the starting points, currentData
             currentData  = cell(1, opt.nColumn);
             for k = 1:opt.nColumn
                 currentData{k}.outlet.time = linspace(0, opt.switch, opt.timePoints);
@@ -462,7 +463,7 @@
             end
 
             columnNumber = cell(1, opt.nColumn);
-%           Number the columns for the sake of plotting
+            % Number the columns for the sake of plotting
             for k = 1:opt.nColumn
                 if k == 1
                     columnNumber{1} = opt.nColumn;
@@ -473,35 +474,35 @@
 
             sequence = cell2struct( columnNumber, stringSet(1:opt.nColumn), 2 );
 
-%           Specify the column for the convergence checking
-%           Usually, the column after the Feed node is adopted
+            % Specify the column for the convergence checking
+            % Usually, the column after the Feed node is adopted
             if opt.nZone == 4
                 convergIndx = sum(opt.structID(1:2));
             elseif opt.nZone == 5
                 convergIndx = sum(opt.structID(1:3));
             elseif opt.nZone == 8
-                convergIndx = sum(opt.structID(1:6));
+                convergIndx = sum(opt.structID(1:3));
             else
                 fprintf('Please choose the correct zone configuration');
             end
 
-%           convergPrevious is used for stopping criterion
+            % convergPrevious is used for stopping criterion
             convergPrevious = currentData{convergIndx}.outlet.concentration;
 
-%           After switching, dummyProfile is used to transfer concentration profile of last column
-%               to the inlet port of the first column
+            % After switching, dummyProfile is used to transfer concentration profile of last column
+            %   to the inlet port of the first column
             dummyProfile    = currentData{sequence.(string(end))}.outlet;
 
-%           The dimension of plotData (columnNumber x switches)
-%               t_s   2*t_s  3*t_s  4*t_s
-%               {1}    {1}    {1}    {1}
-%               {2}    {2}    {2}    {2}
-%               {3}    {3}    {3}    {3}
-%               {4}    {4}    {4}    {4}
+            % The dimension of plotData (columnNumber x switches)
+            %       t_s   2*t_s  3*t_s  4*t_s
+            %       {1}    {1}    {1}    {1}
+            %       {2}    {2}    {2}    {2}
+            %       {3}    {3}    {3}    {3}
+            %       {4}    {4}    {4}    {4}
             plotData = cell(opt.nColumn,opt.nColumn);
 
-%           The data for plotting dynamic trajectory
-%           The row represents the number of withdrawn ports
+            % The data for plotting dynamic trajectory
+            % The row represents the number of withdrawn ports
             if opt.nZone == 4
                 dyncData = cell(2, opt.nMaxIter);
             elseif opt.nZone == 5
@@ -513,14 +514,14 @@
 
 %   Simulations
 %----------------------------------------------------------------------------------------
-%           Main loop
+            % Main loop
             for i = 1:opt.nMaxIter
 
-%               Switching the ports, in the countercurrent manner of fluid
+                % Switching the ports, in the countercurrent manner of fluid
                 sequence = cell2struct( circshift( struct2cell(sequence),-1 ), stringSet(1:opt.nColumn) );
 
-%               The simulation of columns within a SMB unit by the sequence,
-%                   say, 'a', 'b', 'c', 'd' in four-column cases (desorbent node)
+                % The simulation of columns within a SMB unit by the sequence,
+                %   say, 'a', 'b', 'c', 'd' in four-column cases (desorbent node)
                 for k = string'
 
                     column = SMB.massConservation(currentData, interstVelocity, Feed, opt, sequence, k);
@@ -557,19 +558,20 @@
                     % Store the concentration profile, in which it is used as the profile of Feed_2 inlet
                     if opt.nZone == 8
                         if strcmp('raffinate', opt.intermediate_feed) && strcmp(k, stringSet(sum(opt.structID(1:3))))
-                            Feed2 = outletProfile;
+                            Feed2 = outletProfile.outlet;
                         elseif strcmp('extract',opt.intermediate_feed) && strcmp(k, stringSet(opt.structID(1)))
-                            Feed2 = outletProfile;
+                            Feed2 = outletProfile.outlet;
                         end
                     end
 
                     % The concentration profile of column string(end) is also stored as the dummyProfile
                     % because of a technical problem
                     if strcmp(k, string(end))
-                        dummyProfile = outletProfile;
+                        dummyProfile = outletProfile.outlet;
                     end
 
-                    currentData{sequence.(k)}.outlet     = outletProfile;
+                    currentData{sequence.(k)}.outlet     = outletProfile.ouetlet;
+                    currentData{sequence.(k)}.colState   = outletProfile.column;
                     currentData{sequence.(k)}.lastState  = lastState;
 
                 end
@@ -589,7 +591,7 @@
                     dyncData{3, i} = currentData{sequence.(char(stringSet(opt.structID(1))))}.outlet.concentration;
                 end
 
-%               Store the data of one round (opt.nColumn switches), into plotData
+                % Store the data of one round (opt.nColumn switches), into plotData
                 index = mod(i, opt.nColumn);
                 if index == 0
                     plotData(:,opt.nColumn) = currentData';
@@ -598,8 +600,8 @@
                 end
 
 
-%               Convergence criterion was adopted in each nColumn iteration
-%                   ||( C(z, t) - C(z, t + nColumn * t_s) ) / C(z, t)|| < tol, for a specific column
+                % Convergence criterion was adopted in each nColumn iteration
+                %   ||( C(z, t) - C(z, t + nColumn * t_s) ) / C(z, t)|| < tol, for a specific column
                 if fix(i/opt.nColumn) == i/(opt.nColumn)
 
                     diffNorm = 0; stateNorm = 0;
@@ -623,10 +625,10 @@
 
 %   Post-process
 %----------------------------------------------------------------------------------------
-%           Compute the performance index, such Purity and Productivity
+            % Compute the performance index, such Purity and Productivity
             Results = SMB.Purity_Productivity(plotData, opt);
 
-%           Construct your own Objective Function and calculate the value
+            % Construct your own Objective Function and calculate the value
             objective = SMB.objectiveFunction(Results, opt);
 
 
@@ -659,7 +661,7 @@
 
             params = cell(1, opt.nColumn);
             for k = 1:opt.nColumn
-%               set the initial conditions to the solver, but when lastState is used, this setup will be ignored
+                % Set the initial conditions to the solver, but when lastState is used, this setup will be ignored
                 params{k} = struct('initMobilCon', zeros(1,opt.nComponents), 'initSolidCon',...
                     zeros(1,opt.nComponents), 'interstitialVelocity', [], 'dispersionColumn', []);
             end
@@ -780,17 +782,17 @@
 
             string = stringSet(1:opt.nColumn);
 
-%           Preallocation
-%           stringBlock is used for storing the alphabet in each zone
+            % Preallocation
+            % stringBlock is used for storing the alphabet in each zone
             stringBlock = cell(1, opt.nZone);
 
-%           Separate the string into nZone cells
+            % Separate the string into nZone cells
             stringBlock{1} = string(1:opt.structID(1));
             for k = 2:opt.nZone
                 stringBlock{k} = string( sum(opt.structID(1:k-1))+1 : sum(opt.structID(1:k)) );
             end
 
-%           Assign each alphabet with the indexing letter, D,E,F,R
+            % Assign each alphabet with the indexing letter, D,E,F,R
             if opt.nZone == 4
 
                 if any( strcmp(alphabet, stringBlock{1}) )
@@ -943,10 +945,10 @@
 
             Number = circshift( (fliplr(1:opt.nColumn))', 1 );
 
-%           numberBlock is used for storing the column number in each zone
+            % numberBlock is used for storing the column number in each zone
             numberBlock = cell(1, opt.nZone);
 
-%           separate the number string into nZone cells
+            % Separate the number string into nZone cells
             numberBlock{1} = Number(1:opt.structID(1));
             for k = 2:opt.nZone
                 numberBlock{k} = Number( sum(opt.structID(1:k-1))+1 : sum(opt.structID(1:k)) );
@@ -1053,29 +1055,29 @@
             end
 
             if opt.nZone == 4
-%               Construct the Penalty Function for the objective function
+                % Construct the Penalty Function for the objective function
                 penalty = abs( min(Results.Purity_extract - opt.Purity_extract_limit, 0) ) * 100 * opt.Penalty_factor ...
                     + abs( min(Results.Purity_raffinate - opt.Purity_raffinate_limit, 0) ) * 100 * opt.Penalty_factor;
 
-%               (-) since in the optimizer, the defined program is of optimization of minimum
+                % (-) since in the optimizer, the defined program is of optimization of minimum
                 objective = -(Results.Productivity_extract + Results.Productivity_raffinate) + penalty;
 
             elseif opt.nZone == 5
-%               Construct the Penalty Function for the objective function
+                % Construct the Penalty Function for the objective function
                 penalty = abs( min(Results.Purity_extract1 - opt.Purity_extract1_limit, 0) ) * 100 * opt.Penalty_factor ...
                     + abs( min(Results.Purity_extract2 - opt.Purity_extract2_limit, 0) ) * 100 * opt.Penalty_factor ...
                     + abs( min(Results.Purity_raffinate - opt.Purity_raffinate_limit, 0) ) * 100 * opt.Penalty_factor;
 
-%               (-) since in the optimizer, the defined program is of optimization of minimum
+                % (-) since in the optimizer, the defined program is of optimization of minimum
                 objective = -(Results.Productivity_extract1 + Results.Productivity_extract2 + Results.Productivity_raffinate) + penalty;
 
             elseif opt.nZone == 8
-%               Construct the Penalty Function for the objective function
+                % Construct the Penalty Function for the objective function
                 penalty = abs( min(Results.Purity_extract1 - opt.Purity_extract1_limit, 0) ) * 100 * opt.Penalty_factor ...
                     + abs( min(Results.Purity_extract2 - opt.Purity_extract2_limit, 0) ) * 100 * opt.Penalty_factor ...
                     + abs( min(Results.Purity_raffinate2 - opt.Purity_raffinate2_limit, 0) ) * 100 * opt.Penalty_factor;
 
-%               (-) since in the optimizer, the defined program is of optimization of minimum
+                % (-) since in the optimizer, the defined program is of optimization of minimum
                 objective = -(Results.Productivity_extract1 + Results.Productivity_extract2 + Results.Productivity_raffinate2) + penalty;
 
             end
@@ -1104,31 +1106,31 @@
                 error('SMB.Purity_Productivity: There are no enough arguments \n');
             end
 
-%           Get the position of the withdrawn ports to calculate the purity and productivity
+            % Get the position of the withdrawn ports to calculate the purity and productivity
             obj = SMB.positionIndexing(opt);
 
-%           The nominator of the formualar of productivity
+            % The nominator of the formualar of productivity
             Nominator = pi * (opt.columnDiameter/2)^2 * opt.columnLength * (1-opt.porosityColumn);
 
             if opt.nZone == 4
 
-%               Column 1 is used to calculate the integral of purity, plotData{1,x}
+                % Column 1 is used to calculate the integral of purity, plotData{1,x}
                 position_ext = obj.position_ext; position_raf = obj.position_raf;
 
-%               Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
+                % Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
                 sum_ext = 0; sum_raf = 0;
                 for k = 1:opt.nComponents
                     sum_ext = sum_ext + trapz(plotData{1,position_ext}.outlet.time, plotData{1,position_ext}.outlet.concentration(:,k));
                     sum_raf = sum_raf + trapz(plotData{1,position_raf}.outlet.time, plotData{1,position_raf}.outlet.concentration(:,k));
                 end
 
-%               Extract ports
+                % Extract ports
                 Purity_extract = trapz(plotData{1,position_ext}.outlet.time, plotData{1,position_ext}.outlet.concentration(:,opt.comp_ext_ID)) / sum_ext;
 
-%               Raffinate ports
+                % Raffinate ports
                 Purity_raffinate = trapz(plotData{1,position_raf}.outlet.time, plotData{1,position_raf}.outlet.concentration(:,opt.comp_raf_ID)) / sum_raf;
 
-%               per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
+                % per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
                 Productivity_extract = trapz(plotData{1,position_ext}.outlet.time, plotData{1,position_ext}.outlet.concentration(:,opt.comp_ext_ID))...
                     * opt.molMass(opt.comp_ext_ID) * opt.flowRate_extract / Nominator;
 
@@ -1151,7 +1153,7 @@
 
                 position_ext1 = obj.position_ext1; position_ext2 = obj.position_ext2; position_raf = obj.position_raf;
 
-%               Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
+                % Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
                 sum_ext1 = 0; sum_ext2 = 0; sum_raf = 0;
                 for k = 1:opt.nComponents
                     sum_ext1 = sum_ext1 + trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,k));
@@ -1159,14 +1161,14 @@
                     sum_raf  = sum_raf  + trapz(plotData{1,position_raf}.outlet.time, plotData{1,position_raf}.outlet.concentration(:,k));
                 end
 
-%               Extract ports
+                % Extract ports
                 Purity_extract1 = trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,opt.comp_ext1_ID)) / sum_ext1;
                 Purity_extract2 = trapz(plotData{1,position_ext2}.outlet.time, plotData{1,position_ext2}.outlet.concentration(:,opt.comp_ext2_ID)) / sum_ext2;
 
-%               Raffinate ports
+                % Raffinate ports
                 Purity_raffinate = trapz(plotData{1,position_raf}.outlet.time, plotData{1,position_raf}.outlet.concentration(:,opt.comp_raf_ID)) / sum_raf;
 
-%               per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
+                % per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
                 Productivity_extract1 = trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,opt.comp_ext1_ID))...
                     * opt.molMass(opt.comp_ext1_ID) * opt.flowRate_extract1 / Nominator;
 
@@ -1195,7 +1197,7 @@
 
                 position_ext1 = obj.position_ext1; position_ext2 = obj.position_ext2; position_raf2 = obj.position_raf2;
 
-%               Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
+                % Please be quite careful, which component is used for statistics (change them with comp_ext_ID or comp_raf_ID)
                 sum_ext1 = 0; sum_ext2 = 0; sum_raf2 = 0;
                 for k = 1:opt.nComponents
                     sum_ext1 = sum_ext1 + trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,k));
@@ -1203,14 +1205,14 @@
                     sum_raf2 = sum_raf2 + trapz(plotData{1,position_raf2}.outlet.time, plotData{1,position_raf2}.outlet.concentration(:,k));
                 end
 
-%               Extract ports
+                % Extract ports
                 Purity_extract1 = trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,opt.comp_ext1_ID)) / sum_ext1;
                 Purity_extract2 = trapz(plotData{1,position_ext2}.outlet.time, plotData{1,position_ext2}.outlet.concentration(:,opt.comp_ext2_ID)) / sum_ext2;
 
-%               Raffinate ports
+                % Raffinate ports
                 Purity_raffinate2 = trapz(plotData{1,position_raf2}.outlet.time, plotData{1,position_raf2}.outlet.concentration(:,opt.comp_raf2_ID)) / sum_raf2;
 
-%               per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
+                % per switching time, in the tank of extract port, such (unit: g/m^3) amount of target component was collected.
                 Productivity_extract1 = trapz(plotData{1,position_ext1}.outlet.time, plotData{1,position_ext1}.outlet.concentration(:,opt.comp_ext1_ID))...
                     * opt.molMass(opt.comp_ext1_ID) * opt.flowRate_extract1 / Nominator;
 
@@ -1381,16 +1383,32 @@ function concDataConvertToASCII(plotData, opt)
                 error('SMB.concDataConvertToASCII: There are no enough arguments \n');
             end
 
-            for j = 1:opt.nColumn
-                y = plotData{j,1}.outlet.concentration;
+            rowMajor = false; colMajor = false;
 
-                for k =2:opt.nColumn
-                    y = [y; plotData{j,k}.outlet.concentration];
-                end
+            [D1, D2, D3] = size(plotData{1,1}.colState);
+
+            if D1 == opt.nCellsColumn && D3 == opt.timePoints
+                rowMajor = true;
+            elseif D1 == opt.timePoints && D3 == opt.nCellsColumn
+                colMajor = true;
+            end
 
-                save(sprintf('profile_column_%03d.dat', j), 'y' ,'-ascii');
+            if colMajor
+                yy = reshape(plotData{1,1}.colState, [opt.nCellsColumn, opt.nComponents, opt.timePoints]);
+                for k = 2:opt.nColumn
+                    yy = [yy; reshape(plotData{1,k}.colState, [opt.nCellsColumn, opt.nComponents, opt.timePoints])];
+                end
+            elseif rowMajor
+                yy = plotData{1,1}.colState;
+                for k = 2:opt.nColumn
+                    yy = [yy; plotData{1,k}.colState];
+                end
             end
 
+            y = squeeze(yy(:,:,end));
+
+            save('chromatogram.dat', 'y' ,'-ascii');
+
         end % concDataConvertToASCII
 
         function trajDataConvertToASCII(dyncData, opt)
@@ -1435,7 +1453,6 @@ function trajDataConvertToASCII(dyncData, opt)
         function plotFigures(opt, plotData)
 %-----------------------------------------------------------------------------------------
 % This is the plot function
-% The numbers in the figure() represent the number of the columns
 %
 % Parameters:
 % 		- opt. options
@@ -1449,411 +1466,114 @@ function plotFigures(opt, plotData)
 
             if opt.enableDebug
 
-               for j = 1:opt.nColumn
-                    figure(j);clf
+                figure(01);clf
 
-                    y = zeros(1, opt.nComponents);
-                    for k = 1:opt.nColumn
-                        y = [y; plotData{j,k}.outlet.concentration];
+                % On windowns, it is column-major; on Linux, it is row-major
+                rowMajor = false; colMajor = false;
+
+                [D1, D2, D3] = size(plotData{1,1}.colState);
+
+                if D1 == opt.nCellsColumn && D3 == opt.timePoints
+                    rowMajor = true;
+                elseif D1 == opt.timePoints && D3 == opt.nCellsColumn
+                    colMajor = true;
+                end
+
+                if colMajor
+                    yy = reshape(plotData{1,1}.colState, [opt.nCellsColumn, opt.nComponents, opt.timePoints]);
+                    for k = 2:opt.nColumn
+                        yy = [yy; reshape(plotData{1,k}.colState, [opt.nCellsColumn, opt.nComponents, opt.timePoints])];
+                    end
+                elseif rowMajor
+                    yy = plotData{1,1}.colState;
+                    for k = 2:opt.nColumn
+                        yy = [yy; plotData{1,k}.colState];
                     end
+                end
+
+                % Squeeze the 3-D tensor to a 2-D matrix
+                y = squeeze(yy(:,:,end));
+
+                FigSet = plot(y); axis([0,opt.nColumn*opt.nCellsColumn, 0,opt.yLim])
+                ylabel('Concentration [mol]', 'FontSize', 10);
+                if opt.nComponents == 2
+                    legend('comp 1', 'comp 2', 'Location', 'NorthWest');
+                elseif opt.nComponents == 3
+                    legend('comp 1', 'comp 2', 'comp 3', 'Location', 'NorthWest');
+                elseif opt.nComponents == 4
+                    legend('comp 1', 'comp 2', 'comp 3', 'comp 4', 'Location', 'NorthWest');
+                end
+
+                set(FigSet, 'LineWidth', 2);
+                set(gca, 'FontName', 'Times New Roman', 'FontSize', 10);
+                set(gca, 'ygrid', 'on');
+
+
+                if opt.nZone == 4
+
+                    if opt.nColumn == 4 && all( eq(opt.structID, ones(1,opt.nZone)) )
+
+                        set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 8 && all( eq(opt.structID, ones(1,opt.nZone).*2) )
+
+                        set(gca, 'XTick', (1:2:opt.nColumn).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 12 && all( eq(opt.structID, ones(1,opt.nZone).*3) )
+
+                        set(gca, 'XTick', (opt.nColumn/8 : 3: opt.nColumn).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 16 && all( eq(opt.structID, ones(1,opt.nZone).*4) )
+
+                        set(gca, 'XTick', (opt.nColumn/8 : 4: opt.nColumn).*opt.nCellsColumn);
 
-                    FigSet = plot(y); axis([0,opt.nColumn*opt.timePoints, 0,opt.yLim])
-                    ylabel('Concentration [mol]', 'FontSize', 10);
-                    if opt.nComponents == 2
-                        legend('comp 1', 'comp 2', 'Location', 'NorthWest');
-                    elseif opt.nComponents == 3
-                        legend('comp 1', 'comp 2', 'comp 3', 'Location', 'NorthWest');
-                    elseif opt.nComponents == 4
-                        legend('comp 1', 'comp 2', 'comp 3', 'comp 4', 'Location', 'NorthWest');
                     end
 
-                    set(FigSet, 'LineWidth', 2);
-                    set(gca, 'FontName', 'Times New Roman', 'FontSize', 10);
-                    set(gca, 'ygrid', 'on');
-
-
-                    if opt.nZone == 4
-
-                        if opt.nColumn == 4 && all( eq(opt.structID, [1 1 1 1]) )
-
-                            set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.timePoints);
-                            switch j
-                                case 1
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 2
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 3
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 4
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 8 && all( eq(opt.structID, [2 2 2 2]) )
-
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 3
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 5
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV','Zone III'});
-                                case 6
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 7
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone IV'});
-                                case 8
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 12 && all( eq(opt.structID, [3 3 3 3]) )
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', ((opt.nColumn/8+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', ((opt.nColumn/8-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 3
-                                    set(gca, 'XTick', (opt.nColumn/8 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', ((opt.nColumn/8+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 5
-                                    set(gca, 'XTick', ((opt.nColumn/8-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 6
-                                    set(gca, 'XTick', (opt.nColumn/8 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 7
-                                    set(gca, 'XTick', ((opt.nColumn/8+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 8
-                                    set(gca, 'XTick', ((opt.nColumn/8-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 9
-                                    set(gca, 'XTick', (opt.nColumn/8 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 10
-                                    set(gca, 'XTick', ((opt.nColumn/8+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 11
-                                    set(gca, 'XTick', ((opt.nColumn/8-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                                case 12
-                                    set(gca, 'XTick', (opt.nColumn/8 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 16 && all( eq(opt.structID, [4 4 4 4]) )
-
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', (opt.nColumn/8+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II','Zone I'});
-                                case 3
-                                    set(gca, 'XTick', (opt.nColumn/8-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', (opt.nColumn/8 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 5
-                                    set(gca, 'XTick', (opt.nColumn/8+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone IV','Zone III','Zone II'});
-                                case 6
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III','Zone II'});
-                                case 7
-                                    set(gca, 'XTick', (opt.nColumn/8-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 8
-                                    set(gca, 'XTick', (opt.nColumn/8 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 9
-                                    set(gca, 'XTick', (opt.nColumn/8+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone IV','Zone III'});
-                                case 10
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV','Zone III'});
-                                case 11
-                                    set(gca, 'XTick', (opt.nColumn/8-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 12
-                                    set(gca, 'XTick', (opt.nColumn/8 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 13
-                                    set(gca, 'XTick', (opt.nColumn/8+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone IV'});
-                                case 14
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone IV'});
-                                case 15
-                                    set(gca, 'XTick', (opt.nColumn/8-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                                case 16
-                                    set(gca, 'XTick', (opt.nColumn/8 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I'});
-                            end
+                    set(gca, 'XTickLabel', {'Zone I','II','III','IV'});
 
-                        end
+                elseif opt.nZone == 5
 
-                    elseif opt.nZone == 5
-
-                        if opt.nColumn == 5 && all( eq(opt.structID, [1 1 1 1 1]) )
-
-                            set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.timePoints);
-                            switch j
-
-                                case 1
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 2
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 3
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 4
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 5
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 10 && all( eq(opt.structID, [2 2 2 2 2]) )
-
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 3
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 5
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 6
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 7
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 8
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 9
-                                    set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 10
-                                    set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 15 && all( eq(opt.structID, [3 3 3 3 3]) )
-
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', ((opt.nColumn/10+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', ((opt.nColumn/10-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 3
-                                    set(gca, 'XTick', (opt.nColumn/10 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', ((opt.nColumn/10+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 5
-                                    set(gca, 'XTick', ((opt.nColumn/10-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 6
-                                    set(gca, 'XTick', (opt.nColumn/10 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 7
-                                    set(gca, 'XTick', ((opt.nColumn/10+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 8
-                                    set(gca, 'XTick', ((opt.nColumn/10-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 9
-                                    set(gca, 'XTick', (opt.nColumn/10 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 10
-                                    set(gca, 'XTick', ((opt.nColumn/10+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 11
-                                    set(gca, 'XTick', ((opt.nColumn/10-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 12
-                                    set(gca, 'XTick', (opt.nColumn/10 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 13
-                                    set(gca, 'XTick', ((opt.nColumn/10+1) : 3: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 14
-                                    set(gca, 'XTick', ((opt.nColumn/10-1) : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 15
-                                    set(gca, 'XTick', (opt.nColumn/10 : 3: (opt.nColumn-opt.nColumn/8)).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 20 && all( eq(opt.structID, [4 4 4 4 4]) )
-
-                            switch j
-                                case 1
-                                    set(gca, 'XTick', (opt.nColumn/10+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 3
-                                    set(gca, 'XTick', (opt.nColumn/10-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 5
-                                    set(gca, 'XTick', (opt.nColumn/10+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 6
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III','Zone II'});
-                                case 7
-                                    set(gca, 'XTick', (opt.nColumn/10-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 8
-                                    set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 9
-                                    set(gca, 'XTick', (opt.nColumn/10+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 10
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV','Zone III'});
-                                case 11
-                                    set(gca, 'XTick', (opt.nColumn/10-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 12
-                                    set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 13
-                                    set(gca, 'XTick', (opt.nColumn/10+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 14
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V','Zone IV'});
-                                case 15
-                                    set(gca, 'XTick', (opt.nColumn/10-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 16
-                                    set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 17
-                                    set(gca, 'XTick', (opt.nColumn/10+1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 18
-                                    set(gca, 'XTick', (0:4:opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I','Zone V'});
-                                case 19
-                                    set(gca, 'XTick', (opt.nColumn/10-1 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 20
-                                    set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.timePoints);
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
+                    if opt.nColumn == 5 && all( eq(opt.structID, ones(1,opt.nZone)) )
 
-                        end
+                        set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.nCellsColumn);
 
-                    elseif opt.nZone == 8
-
-                        if opt.nColumn == 8 && all( eq(opt.structID, [1 1 1 1 1 1 1 1]) )
-
-                            set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.timePoints);
-                            switch j
-                                case 1
-                                    set(gca, 'XTickLabel', {'Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II'});
-                                case 2
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III'});
-                                case 3
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV'});
-                                case 4
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V'});
-                                case 5
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI'});
-                                case 6
-                                    set(gca, 'XTickLabel', {'Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII'});
-                                case 7
-                                    set(gca, 'XTickLabel', {'Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I','Zone VIII'});
-                                case 8
-                                    set(gca, 'XTickLabel', {'Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
-
-                        elseif opt.nColumn == 16 && all( eq(opt.structID, [2 2 2 2 2 2 2 2]) )
-
-                            set(gca, 'XTick', (0:2:opt.nColumn).*opt.timePoints);
-                            switch j
-                                case 1
-                                    set(gca, 'XTickLabel', {'Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                                case 2
-                                    set(gca, 'XTickLabel', {'Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II'});
-                                case 3
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II'});
-                                case 4
-                                    set(gca, 'XTickLabel', {'Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone II'});
-                                case 5
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III'});
-                                case 6
-                                    set(gca, 'XTickLabel', {'Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV'});
-                                case 7
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V','Zone IV'});
-                                case 8
-                                    set(gca, 'XTickLabel', {'Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI','Zone V'});
-                                case 9
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I','Zone I','Zone VIII','Zone VII','Zone VI','Zone V'});
-                                case 10
-                                    set(gca, 'XTickLabel', {'Zone V','Zone IV','Zone III','Zone II','Zone I','Zone VIII','Zone VII','Zone VI'});
-                                case 11
-                                    set(gca, 'XTickLabel', {'Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone II','Zone I','Zone VIII','Zone VII','Zone VI'});
-                                case 12
-                                    set(gca, 'XTickLabel', {'Zone VI','Zone V','Zone IV','Zone II','Zone II','Zone I','Zone VIII','Zone VII'});
-                                case 13
-                                    set(gca, 'XTickLabel', {'Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone III','Zone II','Zone I','Zone VIII','Zone VII'});
-                                case 14
-                                    set(gca, 'XTickLabel', {'Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I','Zone VIII'});
-                                case 15
-                                    set(gca, 'XTickLabel', {'Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone IV','Zone III','Zone II','Zone I','Zone VIII'});
-                                case 16
-                                    set(gca, 'XTickLabel', {'Zone VIII','Zone VII','Zone VI','Zone V','Zone IV','Zone III','Zone II','Zone I'});
-                            end
+                    elseif opt.nColumn == 10 && all( eq(opt.structID, ones(1,opt.nZone).*2) )
 
-                        end
+                        set(gca, 'XTick', (1:2:(opt.nColumn-1)).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 15 && all( eq(opt.structID, ones(1,opt.nZone).*3) )
+
+                        set(gca, 'XTick', (opt.nColumn/10 : 3: opt.nColumn).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 20 && all( eq(opt.structID, ones(1,opt.nZone).*4) )
 
-                    end % if opt.nZone
+                        set(gca, 'XTick', (opt.nColumn/10 : 4: opt.nColumn).*opt.nCellsColumn);
 
-                    for i = 1: (opt.nColumn-1)
-                        line([i*opt.timePoints,i*opt.timePoints], [0, opt.yLim], 'color', 'k', 'LineStyle', '-.');
                     end
 
-               end % for j = 1:opt.nColumn
+                    set(gca, 'XTickLabel', {'Zone I','II','III','IV','V'});
+
+                elseif opt.nZone == 8
+
+                    if opt.nColumn == 8 && all( eq(opt.structID, ones(1,opt.nZone)) )
+
+                        set(gca, 'XTick', (1/2:1:(opt.nColumn-0.5)).*opt.nCellsColumn);
+
+                    elseif opt.nColumn == 16 && all( eq(opt.structID, ones(1,opt.nZone).*2) )
+
+                        set(gca, 'XTick', (1:2:opt.nColumn).*opt.nCellsColumn);
+
+                    end
+
+                    set(gca, 'XTickLabel', {'Zone I','II','III','IV','V','VI','VII','VIII'});
+
+                end % if opt.nZone
+
+                for i = 1: (opt.nColumn-1)
+                    line([i*opt.nCellsColumn,i*opt.nCellsColumn], [0, opt.yLim], 'color', 'k', 'LineStyle', '-.');
+                end
+
+                title(sprintf('%g / ', opt.structID));
 
             end % if opt.enableDebug
 
@@ -1872,7 +1592,7 @@ function plotDynamic(opt, dyncData, iter)
 
             if opt.enableDebug
 
-                figure(100);clf
+                figure(02);clf
                 if opt.nZone == 4
 
                     for i = 1:2
@@ -1918,7 +1638,7 @@ function plotDynamic(opt, dyncData, iter)
 
                     end
 
-                    suptitle('The concentration profile evolution of the Raffinate and Extract ports');
+                    suptitle('The dynamic trajectories at Raffinate and Extract ports');
 
                 elseif opt.nZone == 5
 
@@ -1967,7 +1687,7 @@ function plotDynamic(opt, dyncData, iter)
 
                     end
 
-                    suptitle('The concentration profile evolution of the Raffinate and Extract ports');
+                    suptitle('The dynamic trajectories at Raffinate and Extract ports');
 
                 elseif opt.nZone == 8
 
@@ -2013,11 +1733,11 @@ function plotDynamic(opt, dyncData, iter)
 
                     end
 
-                    suptitle('The concentration profile evolution of the Raffinate and Extract ports');
+                    suptitle('The dynamic trajectories at Raffinate and Extract ports');
 
-                end
+                end % if opt.nZone
 
-            end
+            end % if opt.enableDebug
 
         end % plotDynamic
 
diff --git a/SMBOptimization.m b/SMBOptimization.m
index 0f11164..f3a8ad0 100644
--- a/SMBOptimization.m
+++ b/SMBOptimization.m
@@ -2,25 +2,25 @@ function SMBOptimization()
 
 % =============================================================================
 % This is the main function of the optimization of the Simulated Moving Bed unit
-% The optimized parameters in this case are 
-%       - columnLength 
-%       - switchTime 
-%       - flowRates_recycle 
+% The optimized parameters in this case are
+%       - columnLength
+%       - switchTime
+%       - flowRates_recycle
 %       - flowRate_feed
 %       - flowRate_desorbent
 %       - flowRate_extract
-% 
+%
 %       theta = {L_c, t_s, Q_{re}, Q_F, Q_D, Q_E}
-% 
+%
 % In the FIVE-ZONE, the optimized parameters are
-%       - columnLength 
-%       - switchTime 
-%       - flowRates_recycle 
+%       - columnLength
+%       - switchTime
+%       - flowRates_recycle
 %       - flowRate_feed
 %       - flowRate_desorbent
 %       - flowRate_extract_1
 %       - flowRate_extract_2
-% 
+%
 %       theta = {L_c, t_s, Q_{re}, Q_F, Q_D, Q_{E1}, Q_{E2}}
 %
 % There are four types of algorithms are integrated into this code, either
@@ -29,7 +29,7 @@ function SMBOptimization()
 %       - Differential Evolution (DE)
 %       - Metropolis Adjusted Differential Evolution (MADE)
 %       - Riemann Manifold Metropolis Adjusted Langevin Algorithm (MLA)
-% 
+%
 % =============================================================================
 
 
@@ -39,7 +39,7 @@ function SMBOptimization()
        'Markov_Chain_Monte_Carlo',[], 'Deterministic_algorithm_fmincon',[]);
 
     % The set of the parameters which are optimized
-%     params = struct('columnLength',[], 'switch',[], 'recycle',[], 'feed',[], 'desorbent',[], 'extract',[]); % binary scenario 
+%     params = struct('columnLength',[], 'switch',[], 'recycle',[], 'feed',[], 'desorbent',[], 'extract',[]); % binary scenario
     params = struct('columnLength',[], 'switch',[], 'recycle',[], 'feed',[], 'desorbent',[], 'extract1',[], 'extract2',[]); % ternary scenario
 
     [opt,~,~] = getParameters( zeros(1,length(fieldnames(params))) );
@@ -96,8 +96,8 @@ function SMBOptimization()
 
     elseif isfield(optimization_method, 'Deterministic_algorithm_fmincon') ...
             && optimization_method.Deterministic_algorithm_fmincon
- 
-        % This is the demonstration case for the binary separation under FOUR-ZONE, 
+
+        % This is the demonstration case for the binary separation under FOUR-ZONE,
         %    in which 6 decision variables are optimized.
         initParams = [0.25, 180, 9.62e-7, 0.98e-7, 1.96e-7, 1.54e-7];
 
@@ -133,11 +133,11 @@ function SMBOptimization()
 % =============================================================================
 %  SMB - The Simulated Moving Bed Chromatography for separation of
 %  target compounds, either binary or ternary.
-% 
+%
 %      Copyright © 2008-2016: Eric von Lieres, Qiaole He
-% 
+%
 %      Forschungszentrum Juelich GmbH, IBG-1, Juelich, Germany.
-% 
+%
 %  All rights reserved. This program and the accompanying materials
 %  are made available under the terms of the GNU Public License v3.0 (or, at
 %  your option, any later version) which accompanies this distribution, and
diff --git a/doc/profile_binary.JPG b/doc/profile_binary.JPG
index 5fcb4f0..835a5ae 100644
Binary files a/doc/profile_binary.JPG and b/doc/profile_binary.JPG differ
diff --git a/doc/profile_cascade.JPG b/doc/profile_cascade.JPG
index f1573de..c1a422e 100644
Binary files a/doc/profile_cascade.JPG and b/doc/profile_cascade.JPG differ
diff --git a/doc/profile_ternary_5.JPG b/doc/profile_ternary_5.JPG
index ca51208..ce1757f 100644
Binary files a/doc/profile_ternary_5.JPG and b/doc/profile_ternary_5.JPG differ
diff --git a/doc/profile_ternary_8.JPG b/doc/profile_ternary_8.JPG
index 5ab3b2e..d7fc176 100644
Binary files a/doc/profile_ternary_8.JPG and b/doc/profile_ternary_8.JPG differ
diff --git a/examples/Forward/getParameters_binary_case3.m b/examples/Forward/getParameters_binary_case3.m
new file mode 100644
index 0000000..267b412
--- /dev/null
+++ b/examples/Forward/getParameters_binary_case3.m
@@ -0,0 +1,121 @@
+function [opt, interstVelocity, Feed] = getParameters(varargin)
+%   Case 1a, a 4-zone eight-column case for binary separation
+% =============================================================================
+% This is the function to input all the necessary data for simulation
+%
+% Returns:
+%       1. opt stands for options, which involves the parameter settings
+%       for the algorithm, the binding isotherm, and the model equations
+%
+%       2. interstVelocity is calculated from flowrate of each column and inlet.
+%       interstitial_velocity = flow_rate / (across_area * porosity_Column)
+%
+%       3. Feed initializes the injection concentration
+% =============================================================================
+
+
+%   The parameter setting for simulator
+    opt.tolIter         = 1e-4;
+    opt.nMaxIter        = 1000;
+    opt.nThreads        = 8;
+    opt.nCellsColumn    = 40;
+    opt.nCellsParticle  = 1;
+    opt.ABSTOL          = 1e-10;
+    opt.INIT_STEP_SIZE  = 1e-14;
+    opt.MAX_STEPS       = 5e6;
+
+%   The parameter setting for the SMB
+    opt.switch          = 180;
+    opt.timePoints      = 1000;
+    opt.Purity_extract_limit    = 0.99;
+    opt.Purity_raffinate_limit  = 0.99;
+    opt.Penalty_factor          = 10;
+
+    opt.enableDebug = true;
+    opt.nZone       = 4;    % 4-zone for binary separation, 5-zone for ternary separation
+    opt.nColumn     = 8;
+    opt.structID    = [2 2 2 2]; % the column configuration which is used for structure optimization
+
+%   Binding: Linear Binding isotherm
+    opt.BindingModel = 'MultiComponentLangmuirBinding';
+    opt.nComponents = 2;
+    opt.KA = [5.72, 7.70]; % [comp_A, comp_B], A for raffinate, B for extract
+    opt.KD = [1, 1];
+    opt.QMAX = [1.0, 1.0];
+    opt.comp_raf_ID = 1; % the target component withdrawn from the raffinate ports
+    opt.comp_ext_ID = 2; % the target component withdrawn from the extract ports
+
+%   Transport
+    opt.dispersionColumn          = ones(1,opt.nZone) .* 3.30e-26; %D_{ax}
+    opt.filmDiffusion             = [1e-5 1e-5];      % K_f
+    opt.diffusionParticle         = [1.6e4 1.6e4];  % D_p
+    opt.diffusionParticleSurface  = [0.0 0.0];
+
+%   Geometry
+    opt.columnLength        = 0.25;      % m
+    opt.columnDiameter      = 0.02;      % m
+    opt.particleRadius      = 0.0005;    % m % user-defined one in this case
+    opt.porosityColumn      = 0.83;
+    opt.porosityParticle    = 0.000001;  % e_p very small to ensure e_t = e_c
+
+%   Parameter units transformation
+%   The flow rate of Zone I was defined as the recycle flow rate
+    crossArea = pi * (opt.columnDiameter/2)^2;   % m^2
+    flowRate.recycle    = 9.62e-7;      % m^3/s
+    flowRate.feed       = 0.98e-7;      % m^3/s
+    flowRate.raffinate  = 1.40e-7;      % m^3/s
+    flowRate.desorbent  = 1.96e-7;      % m^3/s
+    flowRate.extract    = 1.54e-7;      % m^3/s
+    opt.flowRate_extract   = flowRate.extract;
+    opt.flowRate_raffinate = flowRate.raffinate;
+
+%   Interstitial velocity = flow_rate / (across_area * opt.porosityColumn)
+    interstVelocity.recycle   = flowRate.recycle / (crossArea*opt.porosityColumn);      % m/s
+    interstVelocity.feed      = flowRate.feed / (crossArea*opt.porosityColumn);         % m/s
+    interstVelocity.raffinate = flowRate.raffinate / (crossArea*opt.porosityColumn);    % m/s
+    interstVelocity.desorbent = flowRate.desorbent / (crossArea*opt.porosityColumn);    % m/s
+    interstVelocity.extract   = flowRate.extract / (crossArea*opt.porosityColumn);      % m/s
+
+    concentrationFeed 	= [550, 550];   % g/cm^3 [concentration_compA, concentration_compB]
+    opt.molMass         = [1000, 1000];
+    opt.yLim            = max(concentrationFeed ./ opt.molMass);
+
+%   Feed concentration setup
+    Feed.time = linspace(0, opt.switch, opt.timePoints);
+    Feed.concentration = zeros(length(Feed.time), opt.nComponents);
+
+    for i = 1:opt.nComponents
+        Feed.concentration(1:end,i) = (concentrationFeed(i) / opt.molMass(i));
+    end
+
+% -----------------------------------------------------------------------------
+%   Capable of placing a CSTR or DPFR apparatues before and after the calculated column
+
+%   Continuous Stirred Tank Reactor
+    opt.enable_CSTR = false;
+    opt.CSTR_length = 0.01;
+
+%   Dispersive Plug Flow Reactor
+    opt.enable_DPFR = false;
+
+    opt.DPFR_length = 0.0016;
+    opt.DPFR_nCells = 50;
+
+    opt.DPFR_velocity   = 0.00315;
+    opt.DPFR_dispersion = 2.5e-30;
+
+
+end
+% =============================================================================
+%  SMB - The Simulated Moving Bed Chromatography for separation of
+%  target compounds, either binary or ternary.
+%
+%      Copyright © 2008-2016: Eric von Lieres, Qiaole He
+%
+%      Forschungszentrum Juelich GmbH, IBG-1, Juelich, Germany.
+%
+%  All rights reserved. This program and the accompanying materials
+%  are made available under the terms of the GNU Public License v3.0 (or, at
+%  your option, any later version) which accompanies this distribution, and
+%  is available at http://www.gnu.org/licenses/gpl.html
+% =============================================================================
diff --git a/gnuplot/Makefile b/gnuplot/Makefile
new file mode 100644
index 0000000..ee1d6be
--- /dev/null
+++ b/gnuplot/Makefile
@@ -0,0 +1,16 @@
+# gnuplot Makefile
+
+FILE_GP = *.gp
+
+all: plots pdf clean
+
+plots: 
+	gnuplot $(FILE_GP)
+
+pdf:
+	pdflatex -interaction=batchmode trajectory_raffinate.tex
+	pdflatex -interaction=batchmode trajectory_extract.tex
+	pdflatex -interaction=batchmode chromatogram.tex
+
+clean:
+	rm *.aux *.log *-inc.eps *-inc-eps-converted-to.pdf *.tex
diff --git a/gnuplot/chromatogram.dat b/gnuplot/chromatogram.dat
index eaeb3dd..55d9b2c 100644
--- a/gnuplot/chromatogram.dat
+++ b/gnuplot/chromatogram.dat
@@ -1,8000 +1,320 @@
-   6.1578796e-06   2.5054736e-06
-   6.1645717e-06   2.4954884e-06
-   6.1714368e-06   2.4850432e-06
-   6.1783740e-06   2.4743456e-06
-   6.1853349e-06   2.4635280e-06
-   6.1922974e-06   2.4526719e-06
-   6.1992522e-06   2.4418263e-06
-   6.2061946e-06   2.4310243e-06
-   6.2131237e-06   2.4202842e-06
-   6.2200399e-06   2.4096165e-06
-   6.2269444e-06   2.3990261e-06
-   6.2338383e-06   2.3885165e-06
-   6.2407228e-06   2.3780893e-06
-   6.2475994e-06   2.3677444e-06
-   6.2544691e-06   2.3574807e-06
-   6.2613332e-06   2.3472972e-06
-   6.2681930e-06   2.3371925e-06
-   6.2750494e-06   2.3271651e-06
-   6.2819034e-06   2.3172135e-06
-   6.2887561e-06   2.3073364e-06
-   6.2956082e-06   2.2975323e-06
-   6.3024607e-06   2.2877999e-06
-   6.3093144e-06   2.2781378e-06
-   6.3161700e-06   2.2685446e-06
-   6.3230281e-06   2.2590191e-06
-   6.3298896e-06   2.2495602e-06
-   6.3367550e-06   2.2401666e-06
-   6.3436250e-06   2.2308372e-06
-   6.3505001e-06   2.2215709e-06
-   6.3573808e-06   2.2123668e-06
-   6.3642677e-06   2.2032236e-06
-   6.3711613e-06   2.1941406e-06
-   6.3780621e-06   2.1851166e-06
-   6.3849704e-06   2.1761509e-06
-   6.3918867e-06   2.1672424e-06
-   6.3988114e-06   2.1583904e-06
-   6.4057449e-06   2.1495940e-06
-   6.4126875e-06   2.1408525e-06
-   6.4196396e-06   2.1321650e-06
-   6.4266014e-06   2.1235308e-06
-   6.4335734e-06   2.1149491e-06
-   6.4405558e-06   2.1064194e-06
-   6.4475488e-06   2.0979409e-06
-   6.4545528e-06   2.0895128e-06
-   6.4615680e-06   2.0811347e-06
-   6.4685947e-06   2.0728059e-06
-   6.4756331e-06   2.0645258e-06
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-   6.4897458e-06   2.0481093e-06
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-   6.5039079e-06   2.0318807e-06
-   6.5110080e-06   2.0238355e-06
-   6.5181209e-06   2.0158358e-06
-   6.5252470e-06   2.0078811e-06
-   6.5323863e-06   1.9999708e-06
-   6.5395391e-06   1.9921045e-06
-   6.5467054e-06   1.9842817e-06
-   6.5538855e-06   1.9765021e-06
-   6.5610794e-06   1.9687651e-06
-   6.5682874e-06   1.9610704e-06
-   6.5755095e-06   1.9534175e-06
-   6.5827460e-06   1.9458061e-06
-   6.5899968e-06   1.9382358e-06
-   6.5972623e-06   1.9307061e-06
-   6.6045423e-06   1.9232168e-06
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-   6.7993086e-06   1.7415988e-06
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-   6.9974375e-06   1.5879766e-06
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-   7.1472847e-06   1.4883788e-06
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-   7.3392197e-06   1.3777208e-06
-   7.3481840e-06   1.3729596e-06
-   7.3571697e-06   1.3682208e-06
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-   7.3842560e-06   1.3541378e-06
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-   7.4024218e-06   1.3448590e-06
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-   7.4206750e-06   1.3356670e-06
-   7.4298345e-06   1.3311033e-06
-   7.4390160e-06   1.3265610e-06
-   7.4482197e-06   1.3220399e-06
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-   7.4666936e-06   1.3130612e-06
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-   8.7633232e-06   9.0111617e-07
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-   8.8139744e-06   8.9085941e-07
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+   8.3445743e-06   7.3202705e-07
+   8.0730408e-06   8.0440530e-07
+   7.8174182e-06   8.8993515e-07
+   7.5765295e-06   9.9142358e-07
+   7.3493416e-06   1.1121312e-06
+   7.1349672e-06   1.2557660e-06
+   6.9326414e-06   1.4265375e-06
+   6.7418064e-06   1.6289603e-06
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+   6.3920734e-06   2.1516483e-06
    6.2206289e-06   2.5069025e-06
diff --git a/gnuplot/chromatogram.gp b/gnuplot/chromatogram.gp
new file mode 100644
index 0000000..3edc3ed
--- /dev/null
+++ b/gnuplot/chromatogram.gp
@@ -0,0 +1,59 @@
+#!/usr/bin/gnuplot -persist
+
+#------------------------------------------------------------------------------
+# header
+
+set terminal epslatex color solid standalone 'ptm' 14 \
+    header '\usepackage{xcolor, amsmath}'
+
+set style line 1 lt 1 lc rgb "black" lw 3
+set style line 2 lt 2 lc rgb "red" lw 3
+set style line 3 lt 5 lc rgb "dark-blue" lw 6 
+set style line 4 lt 2 lc rgb "orange" lw 6 
+set style line 5 lt 3 lc rgb "dark-green" lw 3
+set style line 6 lt 3 lc rgb "yellow" lw 3
+
+set style line 10 lt 1 lc rgb "black" lw 6
+
+set style line 11 lt 1 pt 5 lc rgb "black" lw 4.5
+set style line 12 lt 2 pt 7 lc rgb "red" lw 4.5
+set style line 13 lt 8 pt 9 lc rgb "dark-blue" lw 4.5
+set style line 14 lt 8 pt 13 lc rgb "dark-orange" lw 4.5
+
+
+set pointsize 2
+set size 1,0.75
+set origin 0,0
+set size ratio 0.55
+set lmargin 6.5
+set rmargin 1.3
+set tmargin 1.5
+set bmargin 1.5
+#------------------------------------------------------------------------------
+
+
+set output "chromatogram.tex"
+
+set macros
+set format y "$%2.1t$"
+
+set xrange [0:320]
+set yrange [0:0.003]
+
+set xtics 40
+set xtics ("" 0, "Zone I" 40, "" 80, "II" 120, "" 160, "III" 200, "" 240, "IV" 280, "" 320)
+
+set ytics 0.001
+
+set grid
+
+set ylabel "Concentration [mol]" offset 1.5
+
+set key nobox left
+set key width -2.8
+
+plot "chromatogram.dat" using 1 with lines ls 2 lw 3.5 title '$c_1(\tau, z)$', \
+     "chromatogram.dat" using 2 with lines ls 5 lw 3.5 title '$c_2(\tau, z)$'
+
+set output
+
diff --git a/gnuplot/chromatogram.pdf b/gnuplot/chromatogram.pdf
new file mode 100644
index 0000000..5d30fa1
Binary files /dev/null and b/gnuplot/chromatogram.pdf differ
diff --git a/gnuplot/trajectory.dat b/gnuplot/trajectory.dat
index f9d6381..1820669 100644
--- a/gnuplot/trajectory.dat
+++ b/gnuplot/trajectory.dat
@@ -194,7 +194,7 @@
    2.4445728e-13   7.6080513e-16   0.0000000e+00   0.0000000e+00
    2.5862541e-13   8.0489991e-16   0.0000000e+00   0.0000000e+00
    2.7279354e-13   8.4899469e-16   0.0000000e+00   0.0000000e+00
-   2.8696167e-13   8.9308946e-16   0.0000000e+00   0.0000000e+00
+   2.8696167e-13   8.9308947e-16   0.0000000e+00   0.0000000e+00
    3.0112980e-13   9.3718424e-16   0.0000000e+00   0.0000000e+00
    3.1529792e-13   9.8127902e-16   0.0000000e+00   0.0000000e+00
    3.2946605e-13   1.0253738e-15   0.0000000e+00   0.0000000e+00
@@ -311,7 +311,7 @@
    1.9021284e-12   5.9198940e-15   0.0000000e+00   0.0000000e+00
    1.9162965e-12   5.9639888e-15   0.0000000e+00   0.0000000e+00
    1.9304646e-12   6.0080836e-15   0.0000000e+00   0.0000000e+00
-   1.9446327e-12   6.0521783e-15   0.0000000e+00   0.0000000e+00
+   1.9446327e-12   6.0521784e-15   0.0000000e+00   0.0000000e+00
    1.9588009e-12   6.0962731e-15   0.0000000e+00   0.0000000e+00
    1.9729690e-12   6.1403679e-15   0.0000000e+00   0.0000000e+00
    1.9871371e-12   6.1844627e-15   0.0000000e+00   0.0000000e+00
@@ -366,7 +366,7 @@
    2.7460429e-12   6.6864612e-15   0.0000000e+00   0.0000000e+00
    2.7649983e-12   6.6077672e-15   0.0000000e+00   0.0000000e+00
    2.7839537e-12   6.5290732e-15   0.0000000e+00   0.0000000e+00
-   2.8029091e-12   6.4503793e-15   0.0000000e+00   0.0000000e+00
+   2.8029091e-12   6.4503792e-15   0.0000000e+00   0.0000000e+00
    2.8218646e-12   6.3716853e-15   0.0000000e+00   0.0000000e+00
    2.8408200e-12   6.2929913e-15   0.0000000e+00   0.0000000e+00
    2.8597754e-12   6.2142973e-15   0.0000000e+00   0.0000000e+00
@@ -412,7 +412,7 @@
    3.6363965e-12   4.3136896e-15   0.0000000e+00   0.0000000e+00
    3.6576096e-12   4.3292260e-15   0.0000000e+00   0.0000000e+00
    3.6788226e-12   4.3447623e-15   0.0000000e+00   0.0000000e+00
-   3.7000356e-12   4.3602987e-15   0.0000000e+00   0.0000000e+00
+   3.7000356e-12   4.3602986e-15   0.0000000e+00   0.0000000e+00
    3.7212486e-12   4.3758350e-15   0.0000000e+00   0.0000000e+00
    3.7434218e-12   4.3961167e-15   0.0000000e+00   0.0000000e+00
    3.7658346e-12   4.4175832e-15   0.0000000e+00   0.0000000e+00
@@ -426,7 +426,7 @@
    3.9460259e-12   4.5919762e-15   0.0000000e+00   0.0000000e+00
    3.9694083e-12   4.6163470e-15   0.0000000e+00   0.0000000e+00
    3.9927907e-12   4.6407178e-15   0.0000000e+00   0.0000000e+00
-   4.0161731e-12   4.6650887e-15   0.0000000e+00   0.0000000e+00
+   4.0161731e-12   4.6650886e-15   0.0000000e+00   0.0000000e+00
    4.0395556e-12   4.6894595e-15   0.0000000e+00   0.0000000e+00
    4.0629380e-12   4.7138303e-15   0.0000000e+00   0.0000000e+00
    4.0863204e-12   4.7382011e-15   0.0000000e+00   0.0000000e+00
@@ -437,7 +437,7 @@
    4.2072055e-12   4.8702569e-15   0.0000000e+00   0.0000000e+00
    4.2314263e-12   4.8967806e-15   0.0000000e+00   0.0000000e+00
    4.2561607e-12   4.9245643e-15   0.0000000e+00   0.0000000e+00
-   4.2811085e-12   4.9528716e-15   0.0000000e+00   0.0000000e+00
+   4.2811085e-12   4.9528715e-15   0.0000000e+00   0.0000000e+00
    4.3060563e-12   4.9811788e-15   0.0000000e+00   0.0000000e+00
    4.3310040e-12   5.0094860e-15   0.0000000e+00   0.0000000e+00
    4.3559518e-12   5.0377932e-15   0.0000000e+00   0.0000000e+00
@@ -468,7 +468,7 @@
    5.0321850e-12   5.8716049e-15   0.0000000e+00   0.0000000e+00
    5.0611309e-12   5.9094664e-15   0.0000000e+00   0.0000000e+00
    5.0904539e-12   5.9482161e-15   0.0000000e+00   0.0000000e+00
-   5.1197769e-12   5.9869659e-15   0.0000000e+00   0.0000000e+00
+   5.1197769e-12   5.9869658e-15   0.0000000e+00   0.0000000e+00
    5.1493525e-12   6.0263091e-15   0.0000000e+00   0.0000000e+00
    5.1790337e-12   6.0659004e-15   0.0000000e+00   0.0000000e+00
    5.2089337e-12   6.1060046e-15   0.0000000e+00   0.0000000e+00
@@ -501,7 +501,7 @@
    6.0801767e-12   7.3368517e-15   0.0000000e+00   0.0000000e+00
    6.1150849e-12   7.3884706e-15   0.0000000e+00   0.0000000e+00
    6.1501956e-12   7.4405453e-15   0.0000000e+00   0.0000000e+00
-   6.1855094e-12   7.4930764e-15   0.0000000e+00   0.0000000e+00
+   6.1855094e-12   7.4930763e-15   0.0000000e+00   0.0000000e+00
    6.2210273e-12   7.5460657e-15   0.0000000e+00   0.0000000e+00
    6.2567505e-12   7.5995150e-15   0.0000000e+00   0.0000000e+00
    6.2926801e-12   7.6534262e-15   0.0000000e+00   0.0000000e+00
@@ -1147,7 +1147,7 @@
    1.7305296e-11   3.9290588e-15 -5.2449693e-102 -2.7630913e-103
    1.7414222e-11   3.9523106e-15 -5.3352021e-102 -2.8106267e-103
    1.7523893e-11   3.9758091e-15 -5.4254350e-102 -2.8581621e-103
-   1.7634355e-11   3.9995580e-15 -5.5156679e-102 -2.9056975e-103
+   1.7634355e-11   3.9995581e-15 -5.5156679e-102 -2.9056975e-103
    1.7745585e-11   4.0235554e-15 -5.6059008e-102 -2.9532329e-103
    1.7857586e-11   4.0478016e-15 -5.6961337e-102 -3.0007683e-103
    1.7970366e-11   4.0722971e-15 -5.7863665e-102 -3.0483037e-103
@@ -2044,14 +2044,14 @@
    3.3965053e-11   2.7518385e-15   1.1015349e-16  -1.4794156e-16
    3.4220825e-11   2.7673453e-15   8.2921521e-17  -1.6147050e-16
    3.4479672e-11   2.7828486e-15   4.1377477e-17  -1.5484314e-16
-   3.4741641e-11   2.7983475e-15  -1.6656719e-19  -1.4821578e-16
+   3.4741641e-11   2.7983475e-15  -1.6656720e-19  -1.4821578e-16
    3.5006781e-11   2.8138412e-15  -4.1710611e-17  -1.4158842e-16
    3.5275144e-11   2.8293286e-15  -8.3254655e-17  -1.3496106e-16
    3.5546781e-11   2.8448089e-15  -1.2479870e-16  -1.2833370e-16
    3.5821743e-11   2.8602813e-15  -1.6634274e-16  -1.2170634e-16
    3.6100086e-11   2.8757451e-15  -2.0788679e-16  -1.1507898e-16
    3.6381862e-11   2.8911993e-15  -2.4943083e-16  -1.0845162e-16
-   3.6667134e-11   2.9066431e-15  -2.9097487e-16  -1.0182426e-16
+   3.6667134e-11   2.9066432e-15  -2.9097487e-16  -1.0182426e-16
    3.6955958e-11   2.9220759e-15  -3.3251892e-16  -9.5196904e-17
    3.7248392e-11   2.9374970e-15  -3.7406296e-16  -8.8569544e-17
    3.7544498e-11   2.9529056e-15  -4.1560701e-16  -8.1942184e-17
@@ -2091,7 +2091,7 @@
    5.0343997e-11   3.4660089e-15  -1.6937015e-15   7.5975718e-17
    5.0820762e-11   3.4807251e-15  -1.6720575e-15   5.0909915e-17
    5.1304713e-11   3.4954197e-15  -1.6504134e-15   2.5844112e-17
-   5.1795940e-11   3.5100922e-15  -1.6287694e-15   7.7830892e-19
+   5.1795940e-11   3.5100922e-15  -1.6287694e-15   7.7830894e-19
    5.2294584e-11   3.5247428e-15  -1.6071254e-15  -2.4287494e-17
    5.2800791e-11   3.5393717e-15  -1.5854813e-15  -4.9353297e-17
    5.3314707e-11   3.5539791e-15  -1.5638373e-15  -7.4419100e-17
@@ -2166,7 +2166,7 @@
    1.2143336e-10   4.5361432e-15  -7.0398569e-17  -1.8039595e-15
    1.2320925e-10   4.5506002e-15  -4.8754530e-17  -1.8290253e-15
    1.2502127e-10   4.5650856e-15  -2.7110491e-17  -1.8540911e-15
-   1.2687025e-10   4.5796007e-15  -5.4664516e-18  -1.8791569e-15
+   1.2687025e-10   4.5796007e-15  -5.4664517e-18  -1.8791569e-15
    1.2875707e-10   4.5941465e-15   1.6177588e-17  -1.9042227e-15
    1.3068264e-10   4.6087241e-15   3.7821627e-17  -1.9292885e-15
    1.3264796e-10   4.6233346e-15   5.9465666e-17  -1.9543543e-15
@@ -2451,7 +2451,7 @@
    5.4292672e-08   4.9103128e-14   5.1479606e-15  -3.6175531e-16
    5.5500082e-08   5.0337350e-14   5.1818783e-15  -3.4475201e-16
    5.6732687e-08   5.1609091e-14   5.2157960e-15  -3.2774872e-16
-   5.7991124e-08   5.2921885e-14   5.2497136e-15  -3.1074543e-16
+   5.7991124e-08   5.2921885e-14   5.2497136e-15  -3.1074542e-16
    5.9275889e-08   5.4277084e-14   5.2836313e-15  -2.9374213e-16
    6.0587365e-08   5.5674244e-14   5.3175489e-15  -2.7673884e-16
    6.1926054e-08   5.7114640e-14   5.3514666e-15  -2.5973554e-16
@@ -2466,7 +2466,7 @@
    7.5285887e-08   7.2251449e-14   5.6567255e-15  -1.0670590e-16
    7.6926173e-08   7.4202018e-14   5.6906432e-15  -8.9702609e-17
    7.8599750e-08   7.6212176e-14   5.7245608e-15  -7.2699315e-17
-   8.0307221e-08   7.8283634e-14   5.7584785e-15  -5.5696022e-17
+   8.0307221e-08   7.8283634e-14   5.7584785e-15  -5.5696021e-17
    8.2049198e-08   8.0418138e-14   5.7923962e-15  -3.8692728e-17
    8.3826304e-08   8.2617479e-14   5.8263138e-15  -2.1689434e-17
    8.5639381e-08   8.4888911e-14   5.8602315e-15  -4.6861408e-18
@@ -2879,7 +2879,7 @@
    2.9951350e-05   1.8523634e-09   3.3177182e-14   2.2502954e-16
    3.0217175e-05   1.8878136e-09   3.3288307e-14   2.0380424e-16
    3.0484812e-05   1.9239014e-09   3.3399431e-14   1.8257894e-16
-   3.0754269e-05   1.9606378e-09   3.3510556e-14   1.6135365e-16
+   3.0754269e-05   1.9606378e-09   3.3510556e-14   1.6135364e-16
    3.1025553e-05   1.9980336e-09   3.3621680e-14   1.4012835e-16
    3.1298673e-05   2.0360998e-09   3.3732805e-14   1.1890305e-16
    3.1573636e-05   2.0748476e-09   3.3843929e-14   9.7677747e-17
@@ -2887,7 +2887,7 @@
    3.2129122e-05   2.1544340e-09   3.4066179e-14   5.5227149e-17
    3.2409662e-05   2.1952957e-09   3.4177303e-14   3.4001849e-17
    3.2692077e-05   2.2368856e-09   3.4288428e-14   1.2776550e-17
-   3.2976373e-05   2.2792163e-09   3.4399552e-14  -8.4487492e-18
+   3.2976373e-05   2.2792163e-09   3.4399552e-14  -8.4487493e-18
    3.3262560e-05   2.3223014e-09   3.4510677e-14  -2.9674049e-17
    3.3550646e-05   2.3661522e-09   3.4621801e-14  -5.0899348e-17
    3.3840637e-05   2.4107814e-09   3.4732926e-14  -7.2124647e-17
@@ -3021,7 +3021,7 @@
    5.8811059e-10   1.0262698e-15   1.3414496e-09   8.3137505e-07
    5.9987427e-10   1.0334474e-15   1.3161501e-09   8.2136683e-07
    6.1191333e-10   1.0406687e-15   1.2912374e-09   8.1145109e-07
-   6.2423366e-10   1.0479333e-15   1.2667173e-09   8.0162589e-07
+   6.2423366e-10   1.0479334e-15   1.2667173e-09   8.0162589e-07
    6.3684133e-10   1.0552410e-15   1.2425898e-09   7.9189122e-07
    6.4974256e-10   1.0625913e-15   1.2188550e-09   7.8224709e-07
    6.6294375e-10   1.0699839e-15   1.1954835e-09   7.7269402e-07
@@ -3051,7 +3051,7 @@
    1.0897692e-09   1.2596781e-15   7.3918598e-10   5.7030124e-07
    1.1131246e-09   1.2680880e-15   7.2418048e-10   5.6295503e-07
    1.1370184e-09   1.2765391e-15   7.0948503e-10   5.5569477e-07
-   1.1614631e-09   1.2850315e-15   6.9509964e-10   5.4852048e-07
+   1.1614631e-09   1.2850315e-15   6.9509963e-10   5.4852048e-07
    1.1864714e-09   1.2935655e-15   6.8088294e-10   5.4141445e-07
    1.2120564e-09   1.3021412e-15   6.6690359e-10   5.3438527e-07
    1.2382313e-09   1.3107591e-15   6.5319694e-10   5.2743738e-07
@@ -3108,7 +3108,7 @@
    3.7907604e-09   1.8208428e-15   2.2358020e-10   2.6537688e-07
    3.8762468e-09   1.8327450e-15   2.1894249e-10   2.6175089e-07
    3.9636857e-09   1.8447520e-15   2.1440256e-10   2.5817215e-07
-   4.0531218e-09   1.8568667e-15   2.0995783e-10   2.5464005e-07
+   4.0531218e-09   1.8568667e-15   2.0995784e-10   2.5464005e-07
    4.1445988e-09   1.8690917e-15   2.0560574e-10   2.5115396e-07
    4.2381621e-09   1.8814301e-15   2.0134369e-10   2.4771328e-07
    4.3338579e-09   1.8938847e-15   1.9716911e-10   2.4431741e-07
@@ -3117,7 +3117,7 @@
    4.6342180e-09   1.9319773e-15   1.8514442e-10   2.3439243e-07
    4.7389269e-09   1.9449289e-15   1.8129394e-10   2.3116962e-07
    4.8460155e-09   1.9580134e-15   1.7751804e-10   2.2798854e-07
-   4.9555358e-09   1.9712345e-15   1.7381414e-10   2.2484859e-07
+   4.9555358e-09   1.9712345e-15   1.7381415e-10   2.2484859e-07
    5.0675412e-09   1.9845957e-15   1.7017967e-10   2.2174915e-07
    5.1820864e-09   1.9981011e-15   1.6661205e-10   2.1868960e-07
    5.2992270e-09   2.0117545e-15   1.6310869e-10   2.1566935e-07
@@ -3144,27 +3144,27 @@
    8.4706676e-09   2.3414573e-15   1.0455291e-10   1.6074673e-07
    8.6615832e-09   2.3597111e-15   1.0236914e-10   1.5849961e-07
    8.8567400e-09   2.3782526e-15   1.0023066e-10   1.5628259e-07
-   9.0562281e-09   2.3970905e-15   9.8136246e-11   1.5409524e-07
+   9.0562281e-09   2.3970905e-15   9.8136247e-11   1.5409524e-07
    9.2601404e-09   2.4162346e-15   9.6084682e-11   1.5193711e-07
    9.4685694e-09   2.4356935e-15   9.4074751e-11   1.4980778e-07
    9.6816102e-09   2.4554769e-15   9.2105238e-11   1.4770680e-07
    9.8993599e-09   2.4755946e-15   9.0174926e-11   1.4563373e-07
-   1.0121917e-08   2.4960568e-15   8.8282599e-11   1.4358815e-07
-   1.0349383e-08   2.5168739e-15   8.6427041e-11   1.4156960e-07
+   1.0121917e-08   2.4960568e-15   8.8282600e-11   1.4358815e-07
+   1.0349383e-08   2.5168739e-15   8.6427042e-11   1.4156960e-07
    1.0581860e-08   2.5380567e-15   8.4607036e-11   1.3957767e-07
    1.0819455e-08   2.5596174e-15   8.2821366e-11   1.3761189e-07
    1.1062273e-08   2.5815671e-15   8.1068816e-11   1.3567186e-07
-   1.1310423e-08   2.6039178e-15   7.9348168e-11   1.3375711e-07
+   1.1310423e-08   2.6039178e-15   7.9348169e-11   1.3375711e-07
    1.1564016e-08   2.6266815e-15   7.7658208e-11   1.3186722e-07
    1.1823165e-08   2.6498712e-15   7.5997718e-11   1.3000175e-07
-   1.2087986e-08   2.6734998e-15   7.4365482e-11   1.2816026e-07
+   1.2087986e-08   2.6734998e-15   7.4365483e-11   1.2816026e-07
    1.2358594e-08   2.6975808e-15   7.2760746e-11   1.2634242e-07
-   1.2635111e-08   2.7221287e-15   7.1212813e-11   1.2455413e-07
-   1.2917660e-08   2.7471585e-15   6.9695882e-11   1.2278984e-07
+   1.2635111e-08   2.7221287e-15   7.1212814e-11   1.2455413e-07
+   1.2917660e-08   2.7471585e-15   6.9695883e-11   1.2278984e-07
    1.3206362e-08   2.7726844e-15   6.8209304e-11   1.2104924e-07
-   1.3501346e-08   2.7987218e-15   6.6752448e-11   1.1933200e-07
+   1.3501346e-08   2.7987218e-15   6.6752449e-11   1.1933200e-07
    1.3802739e-08   2.8252867e-15   6.5324708e-11   1.1763782e-07
-   1.4110673e-08   2.8523951e-15   6.3925494e-11   1.1596639e-07
+   1.4110673e-08   2.8523951e-15   6.3925495e-11   1.1596639e-07
    1.4425282e-08   2.8800641e-15   6.2554238e-11   1.1431741e-07
    1.4746700e-08   2.9083110e-15   6.1210392e-11   1.1269059e-07
    1.5075070e-08   2.9371552e-15   5.9893426e-11   1.1108561e-07
@@ -3172,7 +3172,7 @@
    1.5753228e-08   2.9967077e-15   5.7338127e-11   1.0794009e-07
    1.6103305e-08   3.0274547e-15   5.6098837e-11   1.0639896e-07
    1.6460913e-08   3.0588758e-15   5.4884516e-11   1.0487856e-07
-   1.6826203e-08   3.0909919e-15   5.3694737e-11   1.0337861e-07
+   1.6826203e-08   3.0909919e-15   5.3694738e-11   1.0337861e-07
    1.7199330e-08   3.1238245e-15   5.2529093e-11   1.0189884e-07
    1.7580453e-08   3.1573976e-15   5.1387195e-11   1.0043899e-07
    1.7969732e-08   3.1917338e-15   5.0268677e-11   9.8998792e-08
@@ -3185,7 +3185,7 @@
    2.0937136e-08   3.4555396e-15   4.3034997e-11   8.9453436e-08
    2.1397794e-08   3.4969021e-15   4.2084413e-11   8.8163335e-08
    2.1868188e-08   3.5392712e-15   4.1153757e-11   8.6890953e-08
-   2.2348510e-08   3.5826780e-15   4.0242790e-11   8.5636085e-08
+   2.2348510e-08   3.5826780e-15   4.0242791e-11   8.5636085e-08
    2.2838953e-08   3.6271549e-15   3.9351295e-11   8.4398534e-08
    2.3339717e-08   3.6727352e-15   3.8479069e-11   8.3178104e-08
    2.3851004e-08   3.7194534e-15   3.7625930e-11   8.1974605e-08
@@ -3195,13 +3195,13 @@
    2.6005551e-08   3.9184503e-15   3.4401210e-11   7.7326284e-08
    2.6572609e-08   3.9714206e-15   3.3641390e-11   7.6204753e-08
    2.7151477e-08   4.0257599e-15   3.2892956e-11   7.5097904e-08
-   2.7742383e-08   4.0815109e-15   3.2151060e-11   7.4004750e-08
+   2.7742383e-08   4.0815109e-15   3.2151061e-11   7.4004750e-08
    2.8345561e-08   4.1387204e-15   3.1423783e-11   7.2926542e-08
    2.8961246e-08   4.1974330e-15   3.0710784e-11   7.1863077e-08
    2.9589677e-08   4.2576951e-15   3.0011734e-11   7.0814154e-08
-   3.0231097e-08   4.3195547e-15   2.9326307e-11   6.9779574e-08
+   3.0231097e-08   4.3195547e-15   2.9326308e-11   6.9779574e-08
    3.0885756e-08   4.3830616e-15   2.8654188e-11   6.8759143e-08
-   3.1553904e-08   4.4482668e-15   2.7995065e-11   6.7752669e-08
+   3.1553904e-08   4.4482668e-15   2.7995066e-11   6.7752669e-08
    3.2235798e-08   4.5152229e-15   2.7348636e-11   6.6759961e-08
    3.2931699e-08   4.5839860e-15   2.6714604e-11   6.5780832e-08
    3.3641874e-08   4.6546143e-15   2.6092679e-11   6.4815098e-08
@@ -3210,7 +3210,7 @@
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    3.6630764e-08   4.9569447e-15   2.3720514e-11   6.1082518e-08
    3.7416437e-08   5.0377933e-15   2.3155031e-11   6.0181086e-08
-   3.8218070e-08   5.1208796e-15   2.2600065e-11   5.9292000e-08
+   3.8218070e-08   5.1208796e-15   2.2600066e-11   5.9292000e-08
    3.9035962e-08   5.2062785e-15   2.2055377e-11   5.8415092e-08
    3.9870414e-08   5.2940581e-15   2.1520732e-11   5.7550202e-08
    4.0721733e-08   5.3842920e-15   2.0995904e-11   5.6697167e-08
@@ -3221,9 +3221,9 @@
    4.5242458e-08   5.8750157e-15   1.8511562e-11   5.2604426e-08
    4.6201728e-08   5.9816586e-15   1.8041261e-11   5.1819318e-08
    4.7180163e-08   6.0913401e-15   1.7579385e-11   5.1045021e-08
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-   4.9195933e-08   6.3201957e-15   1.6680227e-11   4.9528307e-08
-   5.0233984e-08   6.4395650e-15   1.6242625e-11   4.8785622e-08
+   4.8178113e-08   6.2041537e-15   1.7125762e-11   5.0281396e-08
+   4.9195933e-08   6.3201957e-15   1.6680228e-11   4.9528307e-08
+   5.0233984e-08   6.4395650e-15   1.6242626e-11   4.8785622e-08
    5.1292632e-08   6.5623635e-15   1.5812805e-11   4.8053210e-08
    5.2372251e-08   6.6886991e-15   1.5390624e-11   4.7330942e-08
    5.3473221e-08   6.8186848e-15   1.4975944e-11   4.6618695e-08
@@ -3235,34 +3235,34 @@
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    6.5744783e-08   8.3455442e-15   1.1285511e-11   4.0025435e-08
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+   1.0055736e-07   1.3436163e-14   6.1372503e-12   2.8990190e-08
+   1.0258084e-07   1.3765312e-14   5.9867259e-12   2.8551613e-08
    1.0464198e-07   1.4104211e-14   5.8345173e-12   2.8118210e-08
    1.0674142e-07   1.4453165e-14   5.6598840e-12   2.7685554e-08
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-   1.1105787e-07   1.5182956e-14   5.3249765e-12   2.6839374e-08
+   1.0887985e-07   1.4812706e-14   5.4900621e-12   2.7259303e-08
+   1.1105787e-07   1.5182956e-14   5.3249766e-12   2.6839374e-08
    1.1327614e-07   1.5564231e-14   5.1645549e-12   2.6425688e-08
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    1.1783607e-07   1.6361172e-14   4.8574235e-12   2.5616735e-08
@@ -3271,8 +3271,8 @@
    1.2499473e-07   1.7647711e-14   4.4300154e-12   2.4448226e-08
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    1.2998787e-07   1.8570375e-14   4.1665504e-12   2.3698324e-08
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-   1.3516432e-07   1.9548589e-14   3.9197354e-12   2.2971064e-08
+   1.3255281e-07   1.9052340e-14   4.0410884e-12   2.3331897e-08
+   1.3516432e-07   1.9548589e-14   3.9197355e-12   2.2971064e-08
    1.3782315e-07   2.0059533e-14   3.8024411e-12   2.2615760e-08
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    1.4328591e-07   2.1127966e-14   3.5798366e-12   2.1921490e-08
@@ -3282,23 +3282,23 @@
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    2.1798074e-07   3.8098396e-14   1.9735297e-12   1.5556791e-08
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@@ -3309,695 +3309,695 @@
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@@ -4007,7 +4007,7 @@
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@@ -4167,7 +4167,7 @@
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@@ -4253,7 +4253,7 @@
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@@ -4402,7 +4402,7 @@
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@@ -4544,8 +4544,8 @@
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@@ -4599,121 +4599,121 @@
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    3.0397809e-07   2.8656688e-15   2.3613974e-07   1.3438982e-04
@@ -5045,7 +5045,7 @@
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@@ -5572,7 +5572,7 @@
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+   2.5539454e-04   5.0903441e-09   5.9615915e-12   1.0729857e-06
    2.5663346e-04   5.1726737e-09   5.8515427e-12   1.0615939e-06
    2.5787514e-04   5.2562266e-09   5.7467854e-12   1.0503125e-06
    2.5911956e-04   5.3410192e-09   5.6455268e-12   1.0391407e-06
@@ -5687,7 +5687,7 @@
    3.1098773e-04   9.9609960e-09   2.8740099e-12   6.7218532e-07
    3.1233269e-04   1.0113163e-08   2.8301650e-12   6.6477503e-07
    3.1367980e-04   1.0267445e-08   2.7872016e-12   6.5744024e-07
-   3.1502905e-04   1.0423867e-08   2.7450957e-12   6.5018025e-07
+   3.1502905e-04   1.0423867e-08   2.7450956e-12   6.5018025e-07
    3.1638042e-04   1.0582455e-08   2.7038232e-12   6.4299438e-07
    3.1773389e-04   1.0743237e-08   2.6633601e-12   6.3588195e-07
    3.1908946e-04   1.0906239e-08   2.6236823e-12   6.2884228e-07
@@ -5723,11 +5723,11 @@
    3.6065550e-04   1.6973412e-08   1.7218365e-12   4.4835011e-07
    3.6206856e-04   1.7220136e-08   1.6998441e-12   4.4325911e-07
    3.6348325e-04   1.7470097e-08   1.6782254e-12   4.3822192e-07
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+   3.6489953e-04   1.7723332e-08   1.6569693e-12   4.3323802e-07
    3.6631741e-04   1.7979878e-08   1.6360646e-12   4.2830689e-07
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    3.6915789e-04   1.8503058e-08   1.5952647e-12   4.1860092e-07
-   3.7058046e-04   1.8769768e-08   1.5753476e-12   4.1382508e-07
+   3.7058046e-04   1.8769768e-08   1.5753475e-12   4.1382508e-07
    3.7200457e-04   1.9039946e-08   1.5557377e-12   4.0910001e-07
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    3.7485733e-04   1.9590861e-08   1.5173965e-12   3.9980022e-07
@@ -5740,7 +5740,7 @@
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    3.9065125e-04   2.2886183e-08   1.3275559e-12   3.5207639e-07
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    3.9354085e-04   2.3536336e-08   1.2980548e-12   3.4399238e-07
@@ -5775,25 +5775,25 @@
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    4.6573641e-04   4.5652991e-08   9.2817287e-13   1.9257453e-07
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@@ -5801,63 +5801,63 @@
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    5.6266555e-04   1.0177190e-07   9.8321343e-13   8.7509087e-08
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@@ -6720,7 +6720,7 @@
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@@ -6744,16 +6744,16 @@
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@@ -6796,7 +6796,7 @@
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@@ -6818,7 +6818,7 @@
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    7.7470453e-04   1.3750937e-07   3.1005388e-12   1.3512303e-06
@@ -6832,12 +6832,12 @@
    7.8817325e-04   1.5077859e-07   3.0259479e-12   1.2402041e-06
    7.8985182e-04   1.5251414e-07   3.0179969e-12   1.2269304e-06
    7.9152927e-04   1.5426728e-07   3.0103224e-12   1.2137871e-06
-   7.9320559e-04   1.5603817e-07   3.0029158e-12   1.2007731e-06
+   7.9320559e-04   1.5603817e-07   3.0029159e-12   1.2007731e-06
    7.9488078e-04   1.5782696e-07   2.9957688e-12   1.1878873e-06
    7.9655483e-04   1.5963381e-07   2.9888728e-12   1.1751286e-06
    7.9822774e-04   1.6145887e-07   2.9822195e-12   1.1624958e-06
    7.9989951e-04   1.6330230e-07   2.9758005e-12   1.1499878e-06
-   8.0157014e-04   1.6516427e-07   2.9696073e-12   1.1376037e-06
+   8.0157014e-04   1.6516427e-07   2.9696074e-12   1.1376037e-06
    8.0323962e-04   1.6704493e-07   2.9636317e-12   1.1253421e-06
    8.0490795e-04   1.6894444e-07   2.9578652e-12   1.1132022e-06
    8.0657513e-04   1.7086298e-07   2.9522994e-12   1.1011827e-06
@@ -6852,7 +6852,7 @@
    8.2152747e-04   1.8901334e-07   2.9104419e-12   9.9825648e-07
    8.2318300e-04   1.9113136e-07   2.9069983e-12   9.8738467e-07
    8.2483736e-04   1.9327029e-07   2.9037385e-12   9.7662206e-07
-   8.2649054e-04   1.9543029e-07   2.9006592e-12   9.6596766e-07
+   8.2649054e-04   1.9543029e-07   2.9006591e-12   9.6596766e-07
    8.2814254e-04   1.9761157e-07   2.8977568e-12   9.5542051e-07
    8.2979336e-04   1.9981429e-07   2.8950281e-12   9.4497963e-07
    8.3144300e-04   2.0203864e-07   2.8924700e-12   9.3464406e-07
@@ -6868,14 +6868,14 @@
    8.4787424e-04   2.2551317e-07   2.8756726e-12   8.3687447e-07
    8.4951083e-04   2.2798797e-07   2.8748197e-12   8.2763601e-07
    8.5114623e-04   2.3048671e-07   2.8741093e-12   8.1849189e-07
-   8.5278044e-04   2.3300960e-07   2.8735399e-12   8.0944125e-07
+   8.5278044e-04   2.3300960e-07   2.8735398e-12   8.0944125e-07
    8.5441345e-04   2.3555683e-07   2.8731098e-12   8.0048322e-07
    8.5604527e-04   2.3812862e-07   2.8728177e-12   7.9161694e-07
    8.5767590e-04   2.4072517e-07   2.8726623e-12   7.8284157e-07
    8.5930534e-04   2.4334670e-07   2.8726425e-12   7.7415626e-07
    8.6093359e-04   2.4599340e-07   2.8727571e-12   7.6556017e-07
    8.6256064e-04   2.4866550e-07   2.8730052e-12   7.5705247e-07
-   8.6418650e-04   2.5136320e-07   2.8733859e-12   7.4863235e-07
+   8.6418650e-04   2.5136320e-07   2.8733858e-12   7.4863235e-07
    8.6581117e-04   2.5408672e-07   2.8738983e-12   7.4029898e-07
    8.6743465e-04   2.5683628e-07   2.8745334e-12   7.3205158e-07
    8.6905694e-04   2.5961210e-07   2.8751960e-12   7.2388972e-07
@@ -6889,7 +6889,7 @@
    8.8199233e-04   2.8279060e-07   2.8844792e-12   6.6156778e-07
    8.8360390e-04   2.8581283e-07   2.8861162e-12   6.5413766e-07
    8.8521428e-04   2.8886358e-07   2.8878549e-12   6.4678506e-07
-   8.8682348e-04   2.9194310e-07   2.8896938e-12   6.3950926e-07
+   8.8682348e-04   2.9194310e-07   2.8896939e-12   6.3950926e-07
    8.8843149e-04   2.9505163e-07   2.8916319e-12   6.3230952e-07
    8.9003831e-04   2.9818942e-07   2.8936680e-12   6.2518513e-07
    8.9164395e-04   3.0135669e-07   2.8958008e-12   6.1813537e-07
@@ -6918,7 +6918,7 @@
    9.2824896e-04   3.8293003e-07   2.9702750e-12   4.7503097e-07
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    9.3140286e-04   3.9087189e-07   2.9790538e-12   4.6417338e-07
-   9.3297809e-04   3.9489740e-07   2.9835758e-12   4.5883189e-07
+   9.3297809e-04   3.9489740e-07   2.9835759e-12   4.5883189e-07
    9.3455215e-04   3.9895969e-07   2.9881860e-12   4.5354785e-07
    9.3612507e-04   4.0305907e-07   2.9928838e-12   4.4832068e-07
    9.3769684e-04   4.0719582e-07   2.9976692e-12   4.4314983e-07
@@ -6959,7 +6959,7 @@
    9.9199835e-04   5.7805177e-07   3.2032166e-12   2.9364687e-07
    9.9352991e-04   5.8375546e-07   3.2094222e-12   2.9016935e-07
    9.9506038e-04   5.8950942e-07   3.2155943e-12   2.8673054e-07
-   9.9658977e-04   5.9531406e-07   3.2217273e-12   2.8333004e-07
+   9.9658977e-04   5.9531406e-07   3.2217272e-12   2.8333004e-07
    9.9811808e-04   6.0116977e-07   3.2278150e-12   2.7996745e-07
    9.9964531e-04   6.0707697e-07   3.2338514e-12   2.7664238e-07
    1.0011715e-03   6.1303606e-07   3.2398300e-12   2.7335443e-07
@@ -6972,7 +6972,7 @@
    1.0118245e-03   6.5623753e-07   3.2847856e-12   2.5134956e-07
    1.0133421e-03   6.6262680e-07   3.2915790e-12   2.4834590e-07
    1.0148586e-03   6.6907178e-07   3.2984165e-12   2.4537608e-07
-   1.0163741e-03   6.7557291e-07   3.3053002e-12   2.4243975e-07
+   1.0163741e-03   6.7557291e-07   3.3053001e-12   2.4243975e-07
    1.0178885e-03   6.8213062e-07   3.3122322e-12   2.3953657e-07
    1.0194018e-03   6.8874537e-07   3.3192150e-12   2.3666618e-07
    1.0209141e-03   6.9541759e-07   3.3262509e-12   2.3382823e-07
@@ -7592,7 +7592,7 @@
    5.9598148e-04   1.2293606e-08   3.0051366e-10   4.3424600e-05
    5.9796670e-04   1.2478089e-08   2.9503961e-10   4.3118185e-05
    5.9995273e-04   1.2665109e-08   2.8966245e-10   4.2813496e-05
-   6.0193955e-04   1.2854698e-08   2.8438040e-10   4.2510527e-05
+   6.0193955e-04   1.2854698e-08   2.8438039e-10   4.2510527e-05
    6.0392713e-04   1.3046889e-08   2.7919168e-10   4.2209273e-05
    6.0591545e-04   1.3241711e-08   2.7409457e-10   4.1909727e-05
    6.0790448e-04   1.3439197e-08   2.6908732e-10   4.1611883e-05
@@ -7615,7 +7615,7 @@
    6.4180555e-04   1.7236977e-08   1.9653824e-10   3.6802986e-05
    6.4380357e-04   1.7488323e-08   1.9293166e-10   3.6534727e-05
    6.4580187e-04   1.7743012e-08   1.8939010e-10   3.6268053e-05
-   6.4780043e-04   1.8001083e-08   1.8591234e-10   3.6002959e-05
+   6.4780043e-04   1.8001083e-08   1.8591233e-10   3.6002959e-05
    6.4979923e-04   1.8262577e-08   1.8249714e-10   3.5739437e-05
    6.5179824e-04   1.8527532e-08   1.7914333e-10   3.5477481e-05
    6.5379744e-04   1.8795991e-08   1.7584969e-10   3.5217086e-05
@@ -7665,30 +7665,30 @@
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-   7.5153233e-04   3.7201694e-08   7.0838734e-11   2.4240658e-05
+   7.4756797e-04   3.6210121e-08   7.3507536e-11   2.4624876e-05
+   7.4955058e-04   3.6702890e-08   7.2160806e-11   2.4432137e-05
+   7.5153233e-04   3.7201694e-08   7.0838735e-11   2.4240658e-05
    7.5351320e-04   3.7706596e-08   6.9540793e-11   2.4050434e-05
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-   7.7129828e-04   4.2535957e-08   5.8927997e-11   2.2393878e-05
+   7.6932619e-04   4.1973202e-08   6.0018459e-11   2.2573080e-05
+   7.7129828e-04   4.2535957e-08   5.8927998e-11   2.2393878e-05
    7.7326930e-04   4.3105481e-08   5.7858142e-11   2.2215870e-05
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    7.8114229e-04   4.5452670e-08   5.3776941e-11   2.1515676e-05
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    7.9095723e-04   4.8547532e-08   4.9092891e-11   2.0666626e-05
-   7.9291653e-04   4.9188692e-08   4.8208031e-11   2.0500251e-05
+   7.9291653e-04   4.9188692e-08   4.8208032e-11   2.0500251e-05
    7.9487456e-04   4.9837425e-08   4.7339642e-11   2.0335008e-05
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    7.9878674e-04   5.1157916e-08   4.5650844e-11   2.0007892e-05
@@ -7700,28 +7700,28 @@
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+   8.1632417e-04   5.7495623e-08   3.8823490e-11   1.8590357e-05
    8.1826563e-04   5.8241380e-08   3.8137140e-11   1.8438244e-05
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+   8.2214408e-04   5.9758833e-08   3.6804125e-11   1.8137185e-05
    8.2408103e-04   6.0530700e-08   3.6156963e-11   1.7988229e-05
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-   8.2795031e-04   6.2101144e-08   3.4900104e-11   1.7693433e-05
+   8.2795031e-04   6.2101144e-08   3.4900103e-11   1.7693433e-05
    8.2988262e-04   6.2899895e-08   3.4289924e-11   1.7547583e-05
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+   8.4336365e-04   6.8752027e-08   3.0337468e-11   1.6555013e-05
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    8.5866931e-04   7.6028699e-08   2.6445326e-11   1.5479721e-05
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    8.6247807e-04   7.7951358e-08   2.5566700e-11   1.5220438e-05
@@ -7751,30 +7751,30 @@
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    9.4789523e-04   1.3580892e-07   1.2635801e-11   1.0205216e-05
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+   9.5330896e-04   1.4063913e-07   1.2145539e-11   9.9351933e-06
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    9.5690683e-04   1.4394228e-07   1.1835813e-11   9.7586662e-06
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    9.6049561e-04   1.4731318e-07   1.1539214e-11   9.5848886e-06
@@ -7782,7 +7782,7 @@
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    9.6764578e-04   1.5426289e-07   1.0983571e-11   9.2454432e-06
-   9.6942760e-04   1.5604449e-07   1.0852164e-11   9.1622463e-06
+   9.6942760e-04   1.5604449e-07   1.0852163e-11   9.1622463e-06
    9.7120710e-04   1.5784406e-07   1.0723652e-11   9.0797067e-06
    9.7298431e-04   1.5966176e-07   1.0597984e-11   8.9978202e-06
    9.7475920e-04   1.6149773e-07   1.0475109e-11   8.9165826e-06
@@ -7790,68 +7790,68 @@
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    1.0834707e-03   3.2487769e-07   6.4212726e-12   4.8872690e-06
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    1.0915603e-03   3.4222703e-07   6.3059260e-12   4.6550143e-06
@@ -7859,26 +7859,26 @@
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@@ -7886,25 +7886,25 @@
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+   1.1678992e-03   5.5977660e-07   5.9058576e-12   2.8514752e-06
+   1.1694038e-03   5.6524681e-07   5.9062874e-12   2.8224112e-06
    1.1709063e-03   5.7076362e-07   5.9068309e-12   2.7936168e-06
    1.1724068e-03   5.7632739e-07   5.9083562e-12   2.7650890e-06
    1.1739052e-03   5.8193845e-07   5.9104270e-12   2.7368261e-06
@@ -7920,7 +7920,7 @@
    1.1887790e-03   6.4072891e-07   5.9470827e-12   2.4683067e-06
    1.1902555e-03   6.4688393e-07   5.9523957e-12   2.4428202e-06
    1.1917299e-03   6.5309061e-07   5.9580233e-12   2.4175739e-06
-   1.1932024e-03   6.5934933e-07   5.9639705e-12   2.3925657e-06
+   1.1932024e-03   6.5934933e-07   5.9639706e-12   2.3925657e-06
    1.1946730e-03   6.6566047e-07   5.9702432e-12   2.3677937e-06
    1.1961416e-03   6.7202443e-07   5.9768472e-12   2.3432560e-06
    1.1976082e-03   6.7844159e-07   5.9837891e-12   2.3189506e-06
@@ -7928,27 +7928,27 @@
    1.2005357e-03   6.9143706e-07   5.9987149e-12   2.2710292e-06
    1.2019966e-03   6.9801617e-07   6.0067141e-12   2.2474093e-06
    1.2034555e-03   7.0465005e-07   6.0150818e-12   2.2240141e-06
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+   1.2049125e-03   7.1133910e-07   6.0238270e-12   2.2008417e-06
    1.2063676e-03   7.1808373e-07   6.0327202e-12   2.1778902e-06
    1.2078208e-03   7.2488435e-07   6.0409612e-12   2.1551573e-06
    1.2092721e-03   7.3174136e-07   6.0493849e-12   2.1326415e-06
    1.2107215e-03   7.3865518e-07   6.0579826e-12   2.1103411e-06
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-   1.2136146e-03   7.5265488e-07   6.0756629e-12   2.0663792e-06
-   1.2150584e-03   7.5974161e-07   6.0847260e-12   2.0447140e-06
-   1.2165003e-03   7.6688683e-07   6.0939239e-12   2.0232571e-06
+   1.2121690e-03   7.4562621e-07   6.0667452e-12   2.0882543e-06
+   1.2136146e-03   7.5265488e-07   6.0756630e-12   2.0663792e-06
+   1.2150584e-03   7.5974161e-07   6.0847261e-12   2.0447140e-06
+   1.2165003e-03   7.6688683e-07   6.0939240e-12   2.0232571e-06
    1.2179403e-03   7.7409095e-07   6.1032456e-12   2.0020065e-06
-   1.2193784e-03   7.8135442e-07   6.1126796e-12   1.9809607e-06
+   1.2193784e-03   7.8135442e-07   6.1126797e-12   1.9809607e-06
    1.2208147e-03   7.8867765e-07   6.1222141e-12   1.9601177e-06
    1.2222492e-03   7.9606108e-07   6.1318365e-12   1.9394760e-06
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+   1.2236818e-03   8.0350515e-07   6.1415339e-12   1.9190337e-06
    1.2251125e-03   8.1101031e-07   6.1512926e-12   1.8987892e-06
    1.2265415e-03   8.1857699e-07   6.1610986e-12   1.8787409e-06
    1.2279686e-03   8.2620564e-07   6.1709372e-12   1.8588869e-06
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-   1.2308173e-03   8.4165065e-07   6.1906505e-12   1.8197556e-06
+   1.2293938e-03   8.3389671e-07   6.1807932e-12   1.8392257e-06
+   1.2308173e-03   8.4165065e-07   6.1906506e-12   1.8197556e-06
    1.2322389e-03   8.4946793e-07   6.2004929e-12   1.8004750e-06
-   1.2336588e-03   8.5734898e-07   6.2103030e-12   1.7813822e-06
+   1.2336588e-03   8.5734898e-07   6.2103031e-12   1.7813822e-06
    1.2350768e-03   8.6529429e-07   6.2200633e-12   1.7624757e-06
    1.2364931e-03   8.7330431e-07   6.2297551e-12   1.7437537e-06
    1.2379075e-03   8.8137952e-07   6.2393595e-12   1.7252148e-06
@@ -7956,22 +7956,22 @@
    1.2407311e-03   8.9772738e-07   6.2591764e-12   1.6886795e-06
    1.2421402e-03   9.0600098e-07   6.2700658e-12   1.6706797e-06
    1.2435475e-03   9.1434166e-07   6.2810645e-12   1.6528567e-06
-   1.2449531e-03   9.2274992e-07   6.2921739e-12   1.6352088e-06
+   1.2449531e-03   9.2274992e-07   6.2921738e-12   1.6352088e-06
    1.2463569e-03   9.3122623e-07   6.3033955e-12   1.6177346e-06
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-   1.2491593e-03   9.4838499e-07   6.3261839e-12   1.5833009e-06
+   1.2477590e-03   9.3977109e-07   6.3147313e-12   1.6004325e-06
+   1.2491593e-03   9.4838499e-07   6.3261838e-12   1.5833009e-06
    1.2505579e-03   9.5706843e-07   6.3377557e-12   1.5663385e-06
-   1.2519547e-03   9.6582191e-07   6.3494501e-12   1.5495437e-06
-   1.2533498e-03   9.7464593e-07   6.3612704e-12   1.5329150e-06
+   1.2519547e-03   9.6582191e-07   6.3494500e-12   1.5495437e-06
+   1.2533498e-03   9.7464593e-07   6.3612703e-12   1.5329150e-06
    1.2547432e-03   9.8354101e-07   6.3732205e-12   1.5164510e-06
    1.2561349e-03   9.9250764e-07   6.3853049e-12   1.5001503e-06
    1.2575248e-03   1.0015464e-06   6.3975282e-12   1.4840113e-06
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+   1.2589131e-03   1.0106577e-06   6.4098955e-12   1.4680327e-06
    1.2602996e-03   1.0198421e-06   6.4224126e-12   1.4522130e-06
-   1.2616844e-03   1.0291001e-06   6.4350853e-12   1.4365508e-06
-   1.2630675e-03   1.0384324e-06   6.4479201e-12   1.4210448e-06
-   1.2644489e-03   1.0478393e-06   6.4609240e-12   1.4056935e-06
-   1.2658287e-03   1.0573215e-06   6.4741043e-12   1.3904956e-06
+   1.2616844e-03   1.0291001e-06   6.4350852e-12   1.4365508e-06
+   1.2630675e-03   1.0384324e-06   6.4479200e-12   1.4210448e-06
+   1.2644489e-03   1.0478393e-06   6.4609239e-12   1.4056935e-06
+   1.2658287e-03   1.0573215e-06   6.4741042e-12   1.3904956e-06
    1.2672067e-03   1.0668794e-06   6.4874688e-12   1.3754496e-06
    1.2685831e-03   1.0765137e-06   6.5010260e-12   1.3605543e-06
    1.2699578e-03   1.0862248e-06   6.5147847e-12   1.3458082e-06
@@ -7988,7 +7988,7 @@
    1.2849706e-03   1.1982799e-06   6.6705755e-12   1.1930781e-06
    1.2863256e-03   1.2089573e-06   6.6853672e-12   1.1800217e-06
    1.2876790e-03   1.2197190e-06   6.7002820e-12   1.1670981e-06
-   1.2890308e-03   1.2305656e-06   6.7153204e-12   1.1543058e-06
+   1.2890308e-03   1.2305656e-06   6.7153205e-12   1.1543058e-06
    1.2903810e-03   1.2414977e-06   6.7304832e-12   1.1416437e-06
    1.2917296e-03   1.2525159e-06   6.7457711e-12   1.1291107e-06
    1.2930766e-03   1.2636208e-06   6.7611846e-12   1.1167055e-06
@@ -7996,7 +7996,7 @@
    1.2957658e-03   1.2860933e-06   6.7923915e-12   1.0922740e-06
    1.2971081e-03   1.2974621e-06   6.8081862e-12   1.0802453e-06
    1.2984487e-03   1.3089201e-06   6.8241094e-12   1.0683398e-06
-   1.2997878e-03   1.3204680e-06   6.8401615e-12   1.0565564e-06
+   1.2997878e-03   1.3204680e-06   6.8401616e-12   1.0565564e-06
    1.3011254e-03   1.3321063e-06   6.8563434e-12   1.0448938e-06
    1.8938930e-05   1.6931486e-13   2.8393886e-06   8.4479636e-04
    1.9139612e-05   1.7369378e-13   2.8142814e-06   8.4342424e-04
@@ -8640,7 +8640,7 @@
    9.3312779e-04   4.2838747e-08   3.2137081e-10   7.7340567e-05
    9.3525497e-04   4.3415318e-08   3.1551761e-10   7.6832564e-05
    9.3738005e-04   4.3998880e-08   3.0976884e-10   7.6327110e-05
-   9.3950301e-04   4.4589506e-08   3.0412254e-10   7.5824198e-05
+   9.3950301e-04   4.4589506e-08   3.0412255e-10   7.5824198e-05
    9.4162384e-04   4.5187270e-08   2.9857677e-10   7.5323821e-05
    9.4374251e-04   4.5792248e-08   2.9312959e-10   7.4825973e-05
    9.4585902e-04   4.6404515e-08   2.8777909e-10   7.4330646e-05
@@ -8851,14 +8851,14 @@
    1.3180520e-03   4.9387675e-07   1.3821201e-11   1.5302010e-05
    1.3195408e-03   4.9879460e-07   1.3742094e-11   1.5168443e-05
    1.3210267e-03   5.0375442e-07   1.3665122e-11   1.5035892e-05
-   1.3225096e-03   5.0875648e-07   1.3589919e-11   1.4904351e-05
+   1.3225096e-03   5.0875648e-07   1.3589918e-11   1.4904351e-05
    1.3239896e-03   5.1380109e-07   1.3516222e-11   1.4773811e-05
    1.3254666e-03   5.1888855e-07   1.3444398e-11   1.4644269e-05
    1.3269407e-03   5.2401918e-07   1.3374400e-11   1.4515718e-05
    1.3284119e-03   5.2919326e-07   1.3306178e-11   1.4388152e-05
    1.3298801e-03   5.3441110e-07   1.3239686e-11   1.4261565e-05
    1.3313455e-03   5.3967302e-07   1.3174873e-11   1.4135952e-05
-   1.3328079e-03   5.4497932e-07   1.3111691e-11   1.4011306e-05
+   1.3328079e-03   5.4497932e-07   1.3111690e-11   1.4011306e-05
    1.3342674e-03   5.5033031e-07   1.3050090e-11   1.3887621e-05
    1.3357240e-03   5.5572631e-07   1.2990021e-11   1.3764892e-05
    1.3371778e-03   5.6116763e-07   1.2931433e-11   1.3643112e-05
@@ -8947,7 +8947,7 @@
    1.4486530e-03   1.2064869e-06   1.1410819e-11   6.3088899e-06
    1.4498958e-03   1.2170870e-06   1.1415953e-11   6.2480701e-06
    1.4511365e-03   1.2277677e-06   1.1421431e-11   6.1877803e-06
-   1.4523750e-03   1.2385295e-06   1.1427257e-11   6.1280165e-06
+   1.4523750e-03   1.2385295e-06   1.1427256e-11   6.1280165e-06
    1.4536114e-03   1.2493730e-06   1.1433434e-11   6.0687749e-06
    1.4548456e-03   1.2602987e-06   1.1439969e-11   6.0100514e-06
    1.4560778e-03   1.2713072e-06   1.1446869e-11   5.9518423e-06
@@ -8966,7 +8966,7 @@
    1.4719069e-03   1.4222040e-06   1.1574089e-11   5.2402010e-06
    1.4731103e-03   1.4344305e-06   1.1587218e-11   5.1887972e-06
    1.4743117e-03   1.4467484e-06   1.1599926e-11   5.1378516e-06
-   1.4755111e-03   1.4591582e-06   1.1611820e-11   5.0873605e-06
+   1.4755111e-03   1.4591582e-06   1.1611819e-11   5.0873605e-06
    1.4767085e-03   1.4716606e-06   1.1623897e-11   5.0373210e-06
    1.4779039e-03   1.4842562e-06   1.1636144e-11   4.9877294e-06
    1.4790974e-03   1.4969456e-06   1.1648544e-11   4.9385823e-06
@@ -8987,7 +8987,7 @@
    1.4967679e-03   1.6989722e-06   1.1839506e-11   4.2524198e-06
    1.4979308e-03   1.7132491e-06   1.1851469e-11   4.2099295e-06
    1.4990919e-03   1.7276309e-06   1.1863173e-11   4.1678278e-06
-   1.5002511e-03   1.7421182e-06   1.1874580e-11   4.1261117e-06
+   1.5002511e-03   1.7421182e-06   1.1874581e-11   4.1261117e-06
    1.5014085e-03   1.7567117e-06   1.1887806e-11   4.0847776e-06
    1.5025640e-03   1.7714121e-06   1.1902172e-11   4.0438228e-06
    1.5037178e-03   1.7862201e-06   1.1916765e-11   4.0032442e-06
@@ -9778,7 +9778,7 @@
    1.4156995e-03   3.3612982e-07   5.9183552e-11   6.1727257e-05
    1.4172636e-03   3.3970211e-07   5.8292525e-11   6.1280409e-05
    1.4188238e-03   3.4330695e-07   5.7419124e-11   6.0836159e-05
-   1.4203801e-03   3.4694457e-07   5.6562999e-11   6.0394498e-05
+   1.4203801e-03   3.4694457e-07   5.6562998e-11   6.0394498e-05
    1.4219325e-03   3.5061521e-07   5.5723802e-11   5.9955415e-05
    1.4234810e-03   3.5431912e-07   5.4901192e-11   5.9518903e-05
    1.4250256e-03   3.5805654e-07   5.4094831e-11   5.9084950e-05
@@ -9801,7 +9801,7 @@
    1.4506956e-03   4.2696022e-07   4.2626751e-11   5.2090299e-05
    1.4521715e-03   4.3134368e-07   4.2068558e-11   5.1700809e-05
    1.4536436e-03   4.3576550e-07   4.1521632e-11   5.1313699e-05
-   1.4551119e-03   4.4022596e-07   4.0985727e-11   5.0928959e-05
+   1.4551119e-03   4.4022596e-07   4.0985728e-11   5.0928959e-05
    1.4565766e-03   4.4472532e-07   4.0460601e-11   5.0546579e-05
    1.4580375e-03   4.4926385e-07   3.9946010e-11   5.0166551e-05
    1.4594947e-03   4.5384183e-07   3.9441714e-11   4.9788864e-05
@@ -10001,10 +10001,10 @@
    6.9782014e-05   7.7825542e-13   6.4579147e-06   1.3040533e-03
    7.0374903e-05   7.9956030e-13   6.4068765e-06   1.3029248e-03
    7.0966260e-05   8.2028151e-13   6.3567625e-06   1.3018182e-03
-   7.1560302e-05   8.4083703e-13   6.3071093e-06   1.3007235e-03
+   7.1560302e-05   8.4083704e-13   6.3071093e-06   1.3007235e-03
    7.2159073e-05   8.6148861e-13   6.2576999e-06   1.2996344e-03
    7.2763555e-05   8.8240144e-13   6.2084395e-06   1.2985468e-03
-   7.3374203e-05   9.0368150e-13   6.1592892e-06   1.2974582e-03
+   7.3374203e-05   9.0368151e-13   6.1592892e-06   1.2974582e-03
    7.3991217e-05   9.2539841e-13   6.1102381e-06   1.2963669e-03
    7.4614662e-05   9.4759929e-13   6.0612888e-06   1.2952719e-03
    7.5244547e-05   9.7031798e-13   6.0124501e-06   1.2941726e-03
@@ -10850,7 +10850,7 @@
    1.6853749e-03   9.2081327e-07   4.1509797e-11   6.7172353e-05
    1.6864765e-03   9.2929336e-07   4.1136700e-11   6.6677453e-05
    1.6875748e-03   9.3783882e-07   4.0771575e-11   6.6185534e-05
-   1.6886699e-03   9.4645003e-07   4.0414246e-11   6.5696583e-05
+   1.6886699e-03   9.4645003e-07   4.0414247e-11   6.5696583e-05
    1.6897618e-03   9.5512739e-07   4.0064540e-11   6.5210590e-05
    1.6908506e-03   9.6387131e-07   3.9722280e-11   6.4727542e-05
    1.6919361e-03   9.7268219e-07   3.9387295e-11   6.4247428e-05
@@ -10907,7 +10907,7 @@
    1.7434021e-03   1.5209849e-06   2.9434101e-11   4.3380568e-05
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    1.7452767e-03   1.5468856e-06   2.9242476e-11   4.2695836e-05
-   1.7462103e-03   1.5599739e-06   2.9150481e-11   4.2356939e-05
+   1.7462103e-03   1.5599739e-06   2.9150480e-11   4.2356939e-05
    1.7471414e-03   1.5731549e-06   2.9060966e-11   4.2020340e-05
    1.7480700e-03   1.5864291e-06   2.8973885e-11   4.1686026e-05
    1.7489962e-03   1.5997970e-06   2.8889193e-11   4.1353988e-05
@@ -10957,7 +10957,7 @@
    1.7874952e-03   2.2895836e-06   2.6884805e-11   2.8827042e-05
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    1.7891482e-03   2.3261024e-06   2.6851832e-11   2.8346564e-05
-   1.7899717e-03   2.3445456e-06   2.6836785e-11   2.8108977e-05
+   1.7899717e-03   2.3445456e-06   2.6836784e-11   2.8108977e-05
    1.7907933e-03   2.3631124e-06   2.6822683e-11   2.7873143e-05
    1.7916130e-03   2.3818034e-06   2.6809518e-11   2.7639054e-05
    1.7924308e-03   2.4006193e-06   2.6797280e-11   2.7406698e-05
@@ -11813,23 +11813,23 @@
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    1.7851603e-03   8.4791605e-07   9.3914996e-11   1.3856721e-04
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-   1.7872044e-03   8.6397274e-07   9.1334890e-11   1.3676799e-04
-   1.7882213e-03   8.7209582e-07   9.0083188e-11   1.3587505e-04
-   1.7892346e-03   8.8028256e-07   8.8859285e-11   1.3498654e-04
-   1.7902444e-03   8.8853336e-07   8.7659766e-11   1.3410247e-04
-   1.7912508e-03   8.9684859e-07   8.6484182e-11   1.3322281e-04
-   1.7922538e-03   9.0522865e-07   8.5332092e-11   1.3234755e-04
-   1.7932533e-03   9.1367391e-07   8.4203068e-11   1.3147670e-04
-   1.7942494e-03   9.2218478e-07   8.3096689e-11   1.3061023e-04
+   1.7861841e-03   8.5591294e-07   9.2612560e-11   1.3766537e-04
+   1.7872044e-03   8.6397274e-07   9.1334889e-11   1.3676799e-04
+   1.7882213e-03   8.7209582e-07   9.0083187e-11   1.3587505e-04
+   1.7892346e-03   8.8028256e-07   8.8859284e-11   1.3498654e-04
+   1.7902444e-03   8.8853336e-07   8.7659765e-11   1.3410247e-04
+   1.7912508e-03   8.9684859e-07   8.6484181e-11   1.3322281e-04
+   1.7922538e-03   9.0522865e-07   8.5332091e-11   1.3234755e-04
+   1.7932533e-03   9.1367391e-07   8.4203067e-11   1.3147670e-04
+   1.7942494e-03   9.2218478e-07   8.3096688e-11   1.3061023e-04
    1.7952421e-03   9.3076164e-07   8.2012546e-11   1.2974814e-04
    1.7962314e-03   9.3940489e-07   8.0950240e-11   1.2889041e-04
    1.7972174e-03   9.4811491e-07   7.9909381e-11   1.2803705e-04
    1.7982000e-03   9.5689212e-07   7.8889588e-11   1.2718802e-04
    1.7991792e-03   9.6573690e-07   7.7890491e-11   1.2634334e-04
-   1.8001551e-03   9.7464966e-07   7.6911729e-11   1.2550298e-04
+   1.8001551e-03   9.7464966e-07   7.6911728e-11   1.2550298e-04
    1.8011277e-03   9.8363082e-07   7.5952948e-11   1.2466693e-04
-   1.8020970e-03   9.9268075e-07   7.5013807e-11   1.2383519e-04
+   1.8020970e-03   9.9268075e-07   7.5013806e-11   1.2383519e-04
    1.8030630e-03   1.0017999e-06   7.4093971e-11   1.2300774e-04
    1.8040258e-03   1.0109886e-06   7.3192727e-11   1.2218458e-04
    1.8049853e-03   1.0202473e-06   7.2309185e-11   1.2136569e-04
@@ -11841,25 +11841,25 @@
    1.8106746e-03   1.0772930e-06   6.7374576e-11   1.1654145e-04
    1.8116117e-03   1.0870534e-06   6.6610191e-11   1.1575216e-04
    1.8125457e-03   1.0968872e-06   6.5861547e-11   1.1496705e-04
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-   1.8144042e-03   1.1167764e-06   6.4410266e-11   1.1340934e-04
-   1.8153288e-03   1.1268327e-06   6.3707030e-11   1.1263671e-04
-   1.8162504e-03   1.1369641e-06   6.3018337e-11   1.1186823e-04
+   1.8134765e-03   1.1067947e-06   6.5128340e-11   1.1418612e-04
+   1.8144042e-03   1.1167764e-06   6.4410267e-11   1.1340934e-04
+   1.8153288e-03   1.1268327e-06   6.3707031e-11   1.1263671e-04
+   1.8162504e-03   1.1369641e-06   6.3018338e-11   1.1186823e-04
    1.8171688e-03   1.1471710e-06   6.2343898e-11   1.1110386e-04
-   1.8180842e-03   1.1574539e-06   6.1683425e-11   1.1034362e-04
+   1.8180842e-03   1.1574539e-06   6.1683426e-11   1.1034362e-04
    1.8189966e-03   1.1678131e-06   6.1036729e-11   1.0958747e-04
    1.8199060e-03   1.1782490e-06   6.0403681e-11   1.0883542e-04
    1.8208123e-03   1.1887623e-06   5.9783844e-11   1.0808745e-04
    1.8217156e-03   1.1993532e-06   5.9176954e-11   1.0734354e-04
    1.8226159e-03   1.2100223e-06   5.8582750e-11   1.0660369e-04
-   1.8235133e-03   1.2207699e-06   5.8000975e-11   1.0586788e-04
+   1.8235133e-03   1.2207699e-06   5.8000976e-11   1.0586788e-04
    1.8244077e-03   1.2315965e-06   5.7431375e-11   1.0513610e-04
    1.8252992e-03   1.2425027e-06   5.6873697e-11   1.0440834e-04
    1.8261877e-03   1.2534887e-06   5.6327692e-11   1.0368459e-04
-   1.8270734e-03   1.2645552e-06   5.5793112e-11   1.0296483e-04
+   1.8270734e-03   1.2645552e-06   5.5793113e-11   1.0296483e-04
    1.8279561e-03   1.2757025e-06   5.5269714e-11   1.0224906e-04
    1.8288359e-03   1.2869311e-06   5.4757253e-11   1.0153726e-04
-   1.8297129e-03   1.2982415e-06   5.4255489e-11   1.0082941e-04
+   1.8297129e-03   1.2982415e-06   5.4255490e-11   1.0082941e-04
    1.8305870e-03   1.3096341e-06   5.3764183e-11   1.0012551e-04
    1.8314583e-03   1.3211093e-06   5.3283097e-11   9.9425541e-05
    1.8323267e-03   1.3326678e-06   5.2811993e-11   9.8729493e-05
@@ -11876,7 +11876,7 @@
    1.8416964e-03   1.4654348e-06   4.8259952e-11   9.1328093e-05
    1.8425319e-03   1.4780284e-06   4.7898105e-11   9.0678099e-05
    1.8433648e-03   1.4907114e-06   4.7544195e-11   9.0031859e-05
-   1.8441950e-03   1.5034843e-06   4.7198067e-11   8.9389360e-05
+   1.8441950e-03   1.5034843e-06   4.7198066e-11   8.9389360e-05
    1.8450226e-03   1.5163477e-06   4.6859569e-11   8.8750589e-05
    1.8458476e-03   1.5293020e-06   4.6528553e-11   8.8115532e-05
    1.8466699e-03   1.5423477e-06   4.6204826e-11   8.7484178e-05
@@ -11902,12 +11902,12 @@
    1.8625907e-03   1.8232647e-06   4.1051752e-11   7.5613920e-05
    1.8633614e-03   1.8383518e-06   4.0852062e-11   7.5057213e-05
    1.8641297e-03   1.8535420e-06   4.0657218e-11   7.4503912e-05
-   1.8648958e-03   1.8688361e-06   4.0467146e-11   7.3954003e-05
+   1.8648958e-03   1.8688361e-06   4.0467147e-11   7.3954003e-05
    1.8656595e-03   1.8842344e-06   4.0281775e-11   7.3407472e-05
    1.8664210e-03   1.8997377e-06   4.0101037e-11   7.2864305e-05
-   1.8671802e-03   1.9153464e-06   3.9924865e-11   7.2324490e-05
+   1.8671802e-03   1.9153464e-06   3.9924866e-11   7.2324490e-05
    1.8679371e-03   1.9310611e-06   3.9753199e-11   7.1788012e-05
-   1.8686918e-03   1.9468825e-06   3.9585978e-11   7.1254858e-05
+   1.8686918e-03   1.9468825e-06   3.9585979e-11   7.1254858e-05
    1.8694442e-03   1.9628111e-06   3.9423147e-11   7.0725014e-05
    1.8701944e-03   1.9788474e-06   3.9264651e-11   7.0198465e-05
    1.8709424e-03   1.9949922e-06   3.9110440e-11   6.9675199e-05
@@ -11917,17 +11917,17 @@
    1.8739125e-03   2.0606666e-06   3.8530039e-11   6.7614681e-05
    1.8746496e-03   2.0773621e-06   3.8394056e-11   6.7107620e-05
    1.8753845e-03   2.0941696e-06   3.8261628e-11   6.6603757e-05
-   1.8761174e-03   2.1110896e-06   3.8132673e-11   6.6103081e-05
+   1.8761174e-03   2.1110896e-06   3.8132674e-11   6.6103081e-05
    1.8768480e-03   2.1281228e-06   3.8007107e-11   6.5605576e-05
    1.8775766e-03   2.1452698e-06   3.7884845e-11   6.5111230e-05
-   1.8783031e-03   2.1625311e-06   3.7765802e-11   6.4620028e-05
+   1.8783031e-03   2.1625311e-06   3.7765803e-11   6.4620028e-05
    1.8790275e-03   2.1799076e-06   3.7649893e-11   6.4131956e-05
    1.8797498e-03   2.1973996e-06   3.7537030e-11   6.3647001e-05
    1.8804700e-03   2.2150080e-06   3.7427126e-11   6.3165150e-05
    1.8811882e-03   2.2327332e-06   3.7320092e-11   6.2686387e-05
    1.8819044e-03   2.2505760e-06   3.7215839e-11   6.2210699e-05
    1.8826185e-03   2.2685370e-06   3.7114275e-11   6.1738073e-05
-   1.8833306e-03   2.2866167e-06   3.7015498e-11   6.1268495e-05
+   1.8833306e-03   2.2866167e-06   3.7015497e-11   6.1268495e-05
    1.8840407e-03   2.3048160e-06   3.6919922e-11   6.0801950e-05
    1.8847487e-03   2.3231353e-06   3.6826979e-11   6.0338425e-05
    1.8854548e-03   2.3415754e-06   3.6736599e-11   5.9877906e-05
@@ -11939,8 +11939,8 @@
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    1.8910331e-03   2.4935223e-06   3.6097638e-11   5.6300327e-05
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-   1.8924085e-03   2.5327630e-06   3.5958742e-11   5.5435032e-05
+   1.8917217e-03   2.5130789e-06   3.6027250e-11   5.5866245e-05
+   1.8924085e-03   2.5327630e-06   3.5958741e-11   5.5435032e-05
    1.8930934e-03   2.5525752e-06   3.5892041e-11   5.5006673e-05
    1.8937764e-03   2.5725162e-06   3.5827079e-11   5.4581156e-05
    1.8944576e-03   2.5925867e-06   3.5764230e-11   5.4158467e-05
@@ -11974,7 +11974,7 @@
    1.9128157e-03   3.2100743e-06   3.4814913e-11   4.3416078e-05
    1.9134472e-03   3.2342193e-06   3.4799676e-11   4.3069510e-05
    1.9140770e-03   3.2585163e-06   3.4784878e-11   4.2725367e-05
-   1.9147054e-03   3.2829663e-06   3.4770398e-11   4.2383637e-05
+   1.9147054e-03   3.2829663e-06   3.4770397e-11   4.2383637e-05
    1.9153321e-03   3.3075700e-06   3.4756891e-11   4.2044306e-05
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    1.9165810e-03   3.3572420e-06   3.4738367e-11   4.1372788e-05
@@ -11982,12 +11982,12 @@
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    1.9190603e-03   3.4584674e-06   3.4713770e-11   4.0057975e-05
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+   1.9196763e-03   3.4841706e-06   3.4710222e-11   3.9735076e-05
    1.9202908e-03   3.5100343e-06   3.4707730e-11   3.9414473e-05
    1.9209039e-03   3.5360594e-06   3.4706307e-11   3.9096154e-05
    1.9215155e-03   3.5622466e-06   3.4705969e-11   3.8780106e-05
    1.9221256e-03   3.5885969e-06   3.4706737e-11   3.8466315e-05
-   1.9227342e-03   3.6151112e-06   3.4708635e-11   3.8154770e-05
+   1.9227342e-03   3.6151112e-06   3.4708634e-11   3.8154770e-05
    1.9233413e-03   3.6417903e-06   3.4711689e-11   3.7845458e-05
    1.9239471e-03   3.6686350e-06   3.4715932e-11   3.7538366e-05
    1.9245513e-03   3.6956464e-06   3.4721399e-11   3.7233482e-05
@@ -11998,8 +11998,8 @@
    1.9275512e-03   3.8332334e-06   3.4761127e-11   3.5741737e-05
    1.9281470e-03   3.8612633e-06   3.4772054e-11   3.5449837e-05
    1.9287414e-03   3.8894660e-06   3.4784061e-11   3.5160057e-05
-   1.5652945e-04   2.1174212e-12   1.1172802e-05   1.6166768e-03
-   1.5764214e-04   2.1668180e-12   1.1091139e-05   1.6159214e-03
+   1.5652945e-04   2.1174213e-12   1.1172802e-05   1.6166768e-03
+   1.5764214e-04   2.1668181e-12   1.1091139e-05   1.6159214e-03
    1.5875044e-04   2.2170164e-12   1.1010870e-05   1.6151799e-03
    1.5986228e-04   2.2681413e-12   1.0931272e-05   1.6144457e-03
    1.6098148e-04   2.3203065e-12   1.0852002e-05   1.6137147e-03
@@ -12007,7 +12007,7 @@
    1.6324823e-04   2.4281258e-12   1.0693927e-05   1.6122521e-03
    1.6439695e-04   2.4839232e-12   1.0615043e-05   1.6115177e-03
    1.6555609e-04   2.5410540e-12   1.0536262e-05   1.6107802e-03
-   1.6672564e-04   2.5995637e-12   1.0457598e-05   1.6100393e-03
+   1.6672564e-04   2.5995638e-12   1.0457598e-05   1.6100393e-03
    1.6790554e-04   2.6594925e-12   1.0379071e-05   1.6092946e-03
    1.6909569e-04   2.7208769e-12   1.0300700e-05   1.6085461e-03
    1.7029598e-04   2.7837514e-12   1.0222506e-05   1.6077936e-03
@@ -12843,13 +12843,13 @@
    1.9190700e-03   1.3417373e-06   9.5717084e-11   1.6807633e-04
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    1.9205861e-03   1.3654593e-06   9.3559903e-11   1.6594082e-04
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+   1.9213399e-03   1.3774491e-06   9.2514878e-11   1.6488079e-04
    1.9220910e-03   1.3895253e-06   9.1491686e-11   1.6382589e-04
    1.9228392e-03   1.4016884e-06   9.0489932e-11   1.6277613e-04
    1.9235848e-03   1.4139390e-06   8.9509224e-11   1.6173148e-04
    1.9243276e-03   1.4262774e-06   8.8549182e-11   1.6069193e-04
    1.9250676e-03   1.4387042e-06   8.7609429e-11   1.5965748e-04
-   1.9258050e-03   1.4512198e-06   8.6689599e-11   1.5862812e-04
+   1.9258050e-03   1.4512198e-06   8.6689600e-11   1.5862812e-04
    1.9265396e-03   1.4638247e-06   8.5788537e-11   1.5760383e-04
    1.9272716e-03   1.4765195e-06   8.4906117e-11   1.5658461e-04
    1.9280009e-03   1.4893045e-06   8.4042259e-11   1.5557045e-04
@@ -12876,13 +12876,13 @@
    1.9427243e-03   1.7795283e-06   6.9580414e-11   1.3542052e-04
    1.9433984e-03   1.7944266e-06   6.9042830e-11   1.3451464e-04
    1.9440701e-03   1.8094269e-06   6.8516918e-11   1.3361356e-04
-   1.9447394e-03   1.8245298e-06   6.8002435e-11   1.3271724e-04
+   1.9447394e-03   1.8245298e-06   6.8002434e-11   1.3271724e-04
    1.9454065e-03   1.8397358e-06   6.7499140e-11   1.3182567e-04
    1.9460712e-03   1.8550454e-06   6.7006797e-11   1.3093885e-04
    1.9467336e-03   1.8704592e-06   6.6525173e-11   1.3005677e-04
    1.9473937e-03   1.8859777e-06   6.6054037e-11   1.2917939e-04
    1.9480515e-03   1.9016015e-06   6.5593161e-11   1.2830673e-04
-   1.9487071e-03   1.9173312e-06   6.5142320e-11   1.2743875e-04
+   1.9487071e-03   1.9173312e-06   6.5142319e-11   1.2743875e-04
    1.9493604e-03   1.9331672e-06   6.4701291e-11   1.2657545e-04
    1.9500115e-03   1.9491102e-06   6.4269855e-11   1.2571682e-04
    1.9506603e-03   1.9651606e-06   6.3847905e-11   1.2486283e-04
@@ -12899,7 +12899,7 @@
    1.9576540e-03   2.1489723e-06   5.9795556e-11   1.1577200e-04
    1.9582771e-03   2.1663571e-06   5.9475560e-11   1.1497274e-04
    1.9588980e-03   2.1838569e-06   5.9162947e-11   1.1417795e-04
-   1.9595170e-03   2.2014722e-06   5.8857570e-11   1.1338761e-04
+   1.9595170e-03   2.2014722e-06   5.8857571e-11   1.1338761e-04
    1.9601338e-03   2.2192038e-06   5.8559285e-11   1.1260172e-04
    1.9607487e-03   2.2370521e-06   5.8267947e-11   1.1182025e-04
    1.9613615e-03   2.2550177e-06   5.7983418e-11   1.1104319e-04
@@ -12938,7 +12938,7 @@
    1.9805217e-03   2.9178417e-06   5.1615461e-11   8.7776905e-05
    1.9810722e-03   2.9401772e-06   5.1493420e-11   8.7140856e-05
    1.9816211e-03   2.9626531e-06   5.1374456e-11   8.6508683e-05
-   1.9821684e-03   2.9852700e-06   5.1258482e-11   8.5880372e-05
+   1.9821684e-03   2.9852700e-06   5.1258483e-11   8.5880372e-05
    1.9827140e-03   3.0080287e-06   5.1146029e-11   8.5255905e-05
    1.9832579e-03   3.0309298e-06   5.1036793e-11   8.4635268e-05
    1.9838003e-03   3.0539742e-06   5.0930505e-11   8.4018444e-05
@@ -12975,31 +12975,31 @@
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    2.0008524e-03   3.8997486e-06   4.8737371e-11   6.5698905e-05
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+   2.0693949e-03   4.6776965e-06   5.6781675e-11   8.9909260e-05
    2.0697761e-03   4.7106662e-06   5.6737414e-11   8.9261013e-05
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    2.0716664e-03   4.8783940e-06   5.6546680e-11   8.6079863e-05
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    2.0727882e-03   4.9813678e-06   5.6454995e-11   8.4218602e-05
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+   2.0731602e-03   5.0160877e-06   5.6428976e-11   8.3605979e-05
    2.0735311e-03   5.0510067e-06   5.6404838e-11   8.2997226e-05
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    2.0742700e-03   5.1214462e-06   5.6362085e-11   8.1791258e-05
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    2.0750049e-03   5.1926942e-06   5.6326511e-11   8.0600556e-05
@@ -14786,7 +14786,7 @@
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    2.0373153e-03   1.1552250e-06   3.6231801e-10   3.8420677e-04
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    2.0385772e-03   1.1766197e-06   3.5071465e-10   3.8024170e-04
@@ -14845,7 +14845,7 @@
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    2.0701143e-03   1.9377835e-06   1.5598832e-10   2.7812830e-04
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    2.0710828e-03   1.9703948e-06   1.5241848e-10   2.7493205e-04
@@ -14902,14 +14902,14 @@
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    2.0948154e-03   3.0563500e-06   9.5891230e-11   1.9714939e-04
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@@ -14965,10 +14965,10 @@
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    2.1166539e-03   4.8437810e-06   7.9261458e-11   1.3044424e-04
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    2.1175858e-03   4.9462726e-06   7.8992394e-11   1.2780525e-04
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    2.1182025e-03   5.0155719e-06   7.8828654e-11   1.2607106e-04
@@ -14995,28 +14995,28 @@
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+   3.4677632e-04   7.2540113e-12   1.7582702e-05   1.8620114e-03
+   3.4876857e-04   7.4156644e-12   1.7457696e-05   1.8616483e-03
    3.5077419e-04   7.5811014e-12   1.7332967e-05   1.8612830e-03
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+   3.5279297e-04   7.7503977e-12   1.7208541e-05   1.8609156e-03
    3.5482473e-04   7.9236314e-12   1.7084443e-05   1.8605460e-03
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    3.5892644e-04   8.2822215e-12   1.6837322e-05   1.8598005e-03
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    3.6307785e-04   8.6575089e-12   1.6591769e-05   1.8590466e-03
@@ -15049,7 +15049,7 @@
    4.2346774e-04   1.5747737e-11   1.3478493e-05   1.8480952e-03
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    4.2823560e-04   1.6457333e-11   1.3264699e-05   1.8472280e-03
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+   4.3063377e-04   1.6823695e-11   1.3158714e-05   1.8467914e-03
    4.3304136e-04   1.7197975e-11   1.3053338e-05   1.8463530e-03
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    4.3788464e-04   1.7970944e-11   1.2844412e-05   1.8454702e-03
@@ -16864,7 +16864,7 @@
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    2.1647576e-03   2.8034576e-06   2.2565604e-10   3.5924782e-04
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+   2.1650549e-03   2.8256665e-06   2.2378765e-10   3.5730052e-04
    2.1653508e-03   2.8480150e-06   2.2196090e-10   3.5536054e-04
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    2.1659386e-03   2.8931333e-06   2.1842910e-10   3.5150256e-04
@@ -16998,14 +16998,14 @@
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-   4.3709764e-04   8.8541888e-12   2.4366001e-05   1.9486820e-03
-   4.3929757e-04   9.0411495e-12   2.4208740e-05   1.9484734e-03
-   4.4150786e-04   9.2316112e-12   2.4051951e-05   1.9482655e-03
-   4.4373204e-04   9.4260039e-12   2.3895334e-05   1.9480574e-03
-   4.4597170e-04   9.6246468e-12   2.3738769e-05   1.9478487e-03
-   4.4822740e-04   9.8277832e-12   2.3582225e-05   1.9476390e-03
+   4.3269037e-04   8.4882061e-12   2.4685351e-05   1.9491063e-03
+   4.3490049e-04   8.6701424e-12   2.4524401e-05   1.9488923e-03
+   4.3709764e-04   8.8541887e-12   2.4366001e-05   1.9486820e-03
+   4.3929757e-04   9.0411494e-12   2.4208740e-05   1.9484734e-03
+   4.4150786e-04   9.2316111e-12   2.4051951e-05   1.9482655e-03
+   4.4373204e-04   9.4260038e-12   2.3895334e-05   1.9480574e-03
+   4.4597170e-04   9.6246467e-12   2.3738769e-05   1.9478487e-03
+   4.4822740e-04   9.8277831e-12   2.3582225e-05   1.9476390e-03
    4.5049925e-04   1.0035604e-11   2.3425713e-05   1.9474282e-03
    4.5278713e-04   1.0248268e-11   2.3269264e-05   1.9472160e-03
    4.5509082e-04   1.0465909e-11   2.3112916e-05   1.9470025e-03
@@ -17019,7 +17019,7 @@
    4.7405651e-04   1.2399901e-11   2.1870383e-05   1.9452442e-03
    4.7649028e-04   1.2667402e-11   2.1716606e-05   1.9450181e-03
    4.7893725e-04   1.2941001e-11   2.1563265e-05   1.9447907e-03
-   4.8139719e-04   1.3220811e-11   2.1410384e-05   1.9445618e-03
+   4.8139719e-04   1.3220810e-11   2.1410384e-05   1.9445618e-03
    4.8386992e-04   1.3506962e-11   2.1257986e-05   1.9443317e-03
    4.8635522e-04   1.3799568e-11   2.1106089e-05   1.9441001e-03
    4.8885290e-04   1.4098759e-11   2.0954714e-05   1.9438672e-03
@@ -19592,7 +19592,7 @@
    2.1162120e-03   2.5457699e-07   2.7867228e-08   1.3208854e-03
    2.1171445e-03   2.5759107e-07   2.7411361e-08   1.3178905e-03
    2.1180715e-03   2.6063660e-07   2.6962708e-08   1.3148906e-03
-   2.1189930e-03   2.6371387e-07   2.6521162e-08   1.3118856e-03
+   2.1189930e-03   2.6371387e-07   2.6521161e-08   1.3118856e-03
    2.1199091e-03   2.6682315e-07   2.6086617e-08   1.3088756e-03
    2.1208196e-03   2.6996472e-07   2.5658971e-08   1.3058608e-03
    2.1217248e-03   2.7313885e-07   2.5238119e-08   1.3028410e-03
@@ -20054,7 +20054,7 @@
    7.2792840e-04   4.5805039e-11   2.2409074e-05   2.0082147e-03
    7.3106592e-04   4.6633570e-11   2.2239835e-05   2.0080735e-03
    7.3421146e-04   4.7479944e-11   2.2071470e-05   2.0079315e-03
-   7.3736493e-04   4.8344510e-11   2.1903980e-05   2.0077886e-03
+   7.3736493e-04   4.8344511e-11   2.1903980e-05   2.0077886e-03
    7.4052627e-04   4.9227623e-11   2.1737368e-05   2.0076448e-03
    7.4369540e-04   5.0129642e-11   2.1571633e-05   2.0075002e-03
    7.4687222e-04   5.1050950e-11   2.1406776e-05   2.0073546e-03
@@ -20069,7 +20069,7 @@
    7.7579785e-04   6.0275013e-11   1.9962641e-05   2.0060042e-03
    7.7904764e-04   6.1411091e-11   1.9806576e-05   2.0058495e-03
    7.8230434e-04   6.2571012e-11   1.9651387e-05   2.0056938e-03
-   7.8556789e-04   6.3755235e-11   1.9497075e-05   2.0055372e-03
+   7.8556789e-04   6.3755236e-11   1.9497075e-05   2.0055372e-03
    7.8883821e-04   6.4964234e-11   1.9343638e-05   2.0053796e-03
    7.9211525e-04   6.6198486e-11   1.9191075e-05   2.0052210e-03
    7.9539894e-04   6.7458479e-11   1.9039385e-05   2.0050614e-03
@@ -21012,7 +21012,7 @@
    6.4640665e-04   3.7414698e-11   3.2474829e-05   2.0269754e-03
    6.4915714e-04   3.7741068e-11   3.2264097e-05   2.0268871e-03
    6.5192311e-04   3.8076151e-11   3.2053568e-05   2.0267983e-03
-   6.5470419e-04   3.8420124e-11   3.1843289e-05   2.0267087e-03
+   6.5470419e-04   3.8420125e-11   3.1843289e-05   2.0267087e-03
    6.5750004e-04   3.8773164e-11   3.1633311e-05   2.0266185e-03
    6.6031030e-04   3.9135447e-11   3.1423676e-05   2.0265277e-03
    6.6313468e-04   3.9507159e-11   3.1214429e-05   2.0264362e-03
@@ -22021,7 +22021,7 @@
    7.0989448e-04   7.0314027e-11   3.2630576e-05   2.0372159e-03
    7.1282689e-04   7.0699519e-11   3.2411182e-05   2.0371379e-03
    7.1577180e-04   7.1096357e-11   3.2192362e-05   2.0370594e-03
-   7.1872891e-04   7.1504746e-11   3.1974146e-05   2.0369803e-03
+   7.1872891e-04   7.1504747e-11   3.1974146e-05   2.0369803e-03
    7.2169796e-04   7.1924923e-11   3.1756563e-05   2.0369007e-03
    7.2467874e-04   7.2357120e-11   3.1539637e-05   2.0368204e-03
    7.2767097e-04   7.2801563e-11   3.1323394e-05   2.0367397e-03
@@ -25040,7 +25040,7 @@
    8.6320673e-04   4.4732702e-10   3.3511843e-05   2.0588725e-03
    8.6642250e-04   4.4742324e-10   3.3275863e-05   2.0588164e-03
    8.6964637e-04   4.4753989e-10   3.3040870e-05   2.0587599e-03
-   8.7287819e-04   4.4767739e-10   3.2806875e-05   2.0587029e-03
+   8.7287819e-04   4.4767740e-10   3.2806875e-05   2.0587029e-03
    8.7611783e-04   4.4783615e-10   3.2573884e-05   2.0586454e-03
    8.7936518e-04   4.4801658e-10   3.2341905e-05   2.0585876e-03
    8.8262011e-04   4.4821911e-10   3.2110947e-05   2.0585293e-03
@@ -97522,7 +97522,7 @@
    2.2955431e-03   4.5849711e-07   5.4901369e-06   1.8087129e-03
    2.2962719e-03   4.6134998e-07   5.4862107e-06   1.8066189e-03
    2.2969956e-03   4.6423447e-07   5.4823411e-06   1.8045154e-03
-   2.2977140e-03   4.6715089e-07   5.4785276e-06   1.8024023e-03
+   2.2977140e-03   4.6715088e-07   5.4785276e-06   1.8024023e-03
    2.2984273e-03   4.7009952e-07   5.4747692e-06   1.8002798e-03
    2.2991355e-03   4.7308068e-07   5.4710653e-06   1.7981477e-03
    2.2998386e-03   4.7609467e-07   5.4674152e-06   1.7960062e-03
@@ -102999,7 +102999,7 @@
    2.3799860e-03   1.5120192e-05   5.2880885e-06   4.2798775e-04
    2.3799910e-03   1.5205387e-05   5.2880537e-06   4.2602603e-04
    1.0591190e-03   2.3034283e-07   7.6188225e-05   2.1025362e-03
-   1.0618968e-03   2.3034312e-07   7.5784225e-05   2.1025283e-03
+   1.0618968e-03   2.3034313e-07   7.5784225e-05   2.1025283e-03
    1.0646529e-03   2.3034343e-07   7.5386088e-05   2.1025204e-03
    1.0674071e-03   2.3034375e-07   7.4990291e-05   2.1025125e-03
    1.0701689e-03   2.3034409e-07   7.4595171e-05   2.1025044e-03
diff --git a/gnuplot/trajectory.gp b/gnuplot/trajectory.gp
new file mode 100644
index 0000000..27def6c
--- /dev/null
+++ b/gnuplot/trajectory.gp
@@ -0,0 +1,86 @@
+#!/usr/bin/gnuplot -persist
+
+#------------------------------------------------------------------------------
+# header
+
+set terminal epslatex color solid standalone 'ptm' 14 \
+    header '\usepackage{xcolor, amsmath}'
+
+set style line 1 lt 1 lc rgb "black" lw 3
+set style line 2 lt 2 lc rgb "red" lw 3
+set style line 3 lt 5 lc rgb "dark-blue" lw 6 
+set style line 4 lt 2 lc rgb "orange" lw 6 
+set style line 5 lt 3 lc rgb "dark-green" lw 3
+set style line 6 lt 3 lc rgb "yellow" lw 3
+
+set style line 10 lt 1 lc rgb "black" lw 6
+
+set style line 11 lt 1 pt 5 lc rgb "black" lw 4.5
+set style line 12 lt 2 pt 7 lc rgb "red" lw 4.5
+set style line 13 lt 8 pt 9 lc rgb "dark-blue" lw 4.5
+set style line 14 lt 8 pt 13 lc rgb "dark-orange" lw 4.5
+
+
+set pointsize 2
+set size 1,0.95
+set origin 0,0
+set size ratio 0.65
+set lmargin 6.5
+set rmargin 1.3
+set tmargin 1.5
+set bmargin 3
+#------------------------------------------------------------------------------
+
+
+#------------------------------------------------------------------------------
+# plot trajectories at raffinate port and extract port respectively
+
+set output "trajectory_raffinate.tex"
+
+set macros
+set format y "$%2.1t$"
+
+set xrange [0:40000]
+set yrange [-0.0005:0.003]
+
+set ytics 0.001
+set xtics 10000
+set xtics add ("0" 0, "10" 10000, "20" 20000, "30" 30000, "40" 40000, "50" 50000)
+
+set xlabel "Iteration" offset 1.5
+set ylabel "Concentration [mol]" offset 1.5
+
+set grid 
+set key nobox left 
+set key width -5
+
+plot "trajectory.dat" using 1 with lines ls 2 lw 3 title '$c_{\text{out},1}(t)$',\
+     "trajectory.dat" using 2 with lines ls 5 lw 3 title '$c_{\text{out},2}(t)$'
+
+set output
+
+set output "trajectory_extract.tex"
+
+set macros
+set format y "$%2.1t$"
+
+set xrange [0:40000]
+set yrange [-0.0005:0.003]
+
+set xtics 10000
+set ytics 0.001
+
+set xtics add ("0" 0, "10" 10000, "20" 20000, "30" 30000, "40" 40000, "50" 50000)
+
+set xlabel "Iteration"
+set ylabel "Concentration [mol]" offset 1.5
+
+set grid 
+set key nobox left
+set key width -5
+
+plot "trajectory.dat" using 3 with lines ls 2 lw 3 title '$c_{\text{out},1}(t)$',\
+     "trajectory.dat" using 4 with lines ls 5 lw 3 title '$c_{\text{out},2}(t)$'
+
+set output
+
diff --git a/gnuplot/trajectory_extract.pdf b/gnuplot/trajectory_extract.pdf
new file mode 100644
index 0000000..dc412ac
Binary files /dev/null and b/gnuplot/trajectory_extract.pdf differ
diff --git a/gnuplot/trajectory_raffinate.pdf b/gnuplot/trajectory_raffinate.pdf
new file mode 100644
index 0000000..5c04306
Binary files /dev/null and b/gnuplot/trajectory_raffinate.pdf differ
diff --git a/isSMBupdateAvailable.m b/isSMBupdateAvailable.m
index 8bf0ab8..353ba0d 100644
--- a/isSMBupdateAvailable.m
+++ b/isSMBupdateAvailable.m
@@ -10,7 +10,7 @@
     path(localPath, path);
     fileID = fopen([localPath filesep 'version.txt']);
 
-    currentVersion = [];    
+    currentVersion = [];
     try
         currentVersion = fgets(fileID);
     end
@@ -25,7 +25,7 @@
 
     stableVersion = [];
     try
-        stableVersion = urlread('https://raw.githubusercontent.com/modsim/CADET-SMB/master/version.txt'); 
+        stableVersion = urlread('https://raw.githubusercontent.com/modsim/CADET-SMB/master/version.txt');
     end
 
     if isempty(stableVersion)
@@ -51,11 +51,11 @@
 % =============================================================================
 %  SMB - The Simulated Moving Bed Chromatography for separation of
 %  target compounds, either binary or ternary.
-% 
+%
 %      Copyright © 2008-2016: Eric von Lieres, Qiaole He
-% 
+%
 %      Forschungszentrum Juelich GmbH, IBG-1, Juelich, Germany.
-% 
+%
 %  All rights reserved. This program and the accompanying materials
 %  are made available under the terms of the GNU Public License v3.0 (or, at
 %  your option, any later version) which accompanies this distribution, and
diff --git a/simulatedMovingBed.m b/simulatedMovingBed.m
index 68638e4..ae2f4e2 100644
--- a/simulatedMovingBed.m
+++ b/simulatedMovingBed.m
@@ -68,7 +68,7 @@
 
     tTotal = tic;
 
-%   Construct the string in order to tell simulator the calculation sequence
+    % Construct the string in order to tell simulator the calculation sequence
     stringSet = {'a' 'b' 'c' 'd' 'e' 'f' 'g' 'h' 'i' 'j' 'k' 'l' 'm'...
                  'n' 'o' 'p' 'q' 'r' 's' 't' 'u' 'v' 'w' 'x' 'y' 'z'...
                  'a1' 'b1' 'c1' 'd1' 'e1' 'f1' 'g1' 'h1' 'i1' 'j1' 'k1' 'l1' 'm1'...
@@ -82,8 +82,8 @@
 
     [opt, interstVelocity, Feed] = getParameters(varargin{:});
 
-%   Check the interstitial velocity, if anyone was negative, stop the simulation
-%       and assign a very big objective function value to this column configuration.
+    % Check the interstitial velocity, if anyone was negative, stop the simulation
+    %   and assign a very big objective function value to this column configuration.
     flag = SMB.interstVelocityCheck(interstVelocity, opt);
     if flag == 1
         objective = 1e5;
@@ -101,20 +101,20 @@
 
 %   Preallocation
 %----------------------------------------------------------------------------------------
-%   Construct the string for simulation sequence
+    % Construct the string for simulation sequence
     string = char(stringSet(1:opt.nColumn));
 
-%   If num = 2 (4-column case), the starting point is Feed, sequence is c, d, a, b
-%       num = 0, the starting point is Desorbent (default), sequence is a, b, c, d
-%	In the 8-zone scenario, it should be careful in choosing the starting node
-%       as it is impossible to start from Feed2 node at the outset.
+    % If num = 2 (4-column case), the starting point is Feed, sequence is c, d, a, b
+    %   num = 0, the starting point is Desorbent (default), sequence is a, b, c, d
+    % In the 8-zone scenario, it should be careful in choosing the starting node
+    %   as it is impossible to start from Feed2 node at the outset.
     string = circshift(string, 0);
     startingPointIndex = SMB.stringIndexing(opt, string(1));
 
-%   Initialize the starting points, currentData
+    % Initialize the starting points, currentData
     currentData    = cell(1, opt.nColumn);
     for k = 1:opt.nColumn
-%       currentData stores the outlets of each interval of columns
+        % currentData stores the outlets of each interval of columns
         currentData{k}.outlet.time = linspace(0, opt.switch, opt.timePoints);
         currentData{k}.outlet.concentration = zeros(length(Feed.time), opt.nComponents);
         currentData{k}.lastState = [];
@@ -126,7 +126,7 @@
         end
     end
 
-%   Number the columns for the sake of plotting
+    % Number the columns for the sake of plotting
     columnNumber = cell(1, opt.nColumn);
     for k = 1:opt.nColumn
         if k == 1
@@ -138,8 +138,8 @@
 
     sequence = cell2struct( columnNumber, stringSet(1:opt.nColumn), 2 );
 
-%   Specify the column for the convergence checking
-%   Usually, the column after the Feed node is adopted
+    % Specify the column for the convergence checking
+    % Usually, the column after the Feed node is adopted
     if opt.nZone == 4
         convergIndx = sum(opt.structID(1:2));
     elseif opt.nZone == 5
@@ -150,23 +150,23 @@
         error('Please choose the correct zone configuration \n');
     end
 
-%   convergPrevious is used for stopping criterion
+    % convergPrevious is used for stopping criterion
     convergPrevious = currentData{convergIndx}.outlet.concentration;
 
-%   After switching, dummyProfile is used to transfer concentration profile of last column
-%       to the inlet port of the first column
+    % After switching, dummyProfile is used to transfer concentration profile of last column
+    %   to the inlet port of the first column
     dummyProfile 	= currentData{sequence.(string(end))}.outlet;
 
-%   The dimension of plotData (columnNumber x switches)
-%          t_s   2*t_s  3*t_s  4*t_s
-%          {1}    {1}    {1}    {1}
-%          {2}    {2}    {2}    {2}
-%          {3}    {3}    {3}    {3}
-%          {4}    {4}    {4}    {4}
+    % The dimension of plotData (columnNumber x switches)
+    %          t_s   2*t_s  3*t_s  4*t_s
+    %          {1}    {1}    {1}    {1}
+    %          {2}    {2}    {2}    {2}
+    %          {3}    {3}    {3}    {3}
+    %          {4}    {4}    {4}    {4}
     plotData = cell(opt.nColumn,opt.nColumn);
 
-%   The data for plotting dynamic trajectory.
-%   The row represents the number of withdrawn ports
+    % The data for plotting dynamic trajectory.
+    % The row represents the number of withdrawn ports
     if opt.nZone == 4
         dyncData = cell(2, opt.nMaxIter);
     elseif opt.nZone == 5
@@ -178,20 +178,20 @@
 
 %   Simulations
 %----------------------------------------------------------------------------------------
-%   Interactive plotting
+    % Interactive plotting
     if opt.enableDebug
         fprintf(' ============================================= \n');
         fprintf(' ---- Switch ---- Cycle ---- CSS_relError ---- \n');
     end
 
-%   Main loop
+    % Main loop
     for i = 1:opt.nMaxIter
 
-%       Switching the ports, in the countercurrent manner of fluid
+        % Switching the ports, in the countercurrent manner of fluid
         sequence = cell2struct( circshift( struct2cell(sequence),-1 ), stringSet(1:opt.nColumn) );
 
-%       The simulation of columns within a SMB unit by the sequence
-%           say, 'a', 'b', 'c', 'd' in four-column cases (desorbent node)
+        % The simulation of columns within a SMB unit by the sequence
+        %   say, 'a', 'b', 'c', 'd' in four-column cases (desorbent node)
         for k = string'
 
             % The node balance: transmission of concentration, column state, velocity and so on
@@ -230,19 +230,20 @@
             % Store the concentration profile, in which it is used as the profile of Feed_2 inlet
             if opt.nZone == 8
                 if strcmp('raffinate', opt.intermediate_feed) && strcmp(k, stringSet(sum(opt.structID(1:3))))
-                    Feed2 = outletProfile;
+                    Feed2 = outletProfile.outlet;
                 elseif strcmp('extract', opt.intermediate_feed) && strcmp(k, stringSet(opt.structID(1)))
-                    Feed2 = outletProfile;
+                    Feed2 = outletProfile.outlet;
                 end
             end
 
             % The concentration profile of column string(end) is also stored as the dummyProfile
             % because of a technical problem
             if strcmp(k, string(end))
-                dummyProfile = outletProfile;
+                dummyProfile = outletProfile.outlet;
             end
 
-            currentData{sequence.(k)}.outlet     = outletProfile;
+            currentData{sequence.(k)}.outlet     = outletProfile.outlet;
+            currentData{sequence.(k)}.colState   = outletProfile.column;
             currentData{sequence.(k)}.lastState  = lastState;
 
         end
@@ -262,10 +263,10 @@
             dyncData{3, i} = currentData{sequence.(char(stringSet(opt.structID(1))))}.outlet.concentration;
         end
 
-%       Plot the dynamic trajectory
+        % Plot the dynamic trajectory
         SMB.plotDynamic(opt, dyncData(:,1:i), i);
 
-%       Store the data of one round (opt.nColumn switches), into plotData
+        % Store the data of one round (opt.nColumn switches), into plotData
         index = mod(i, opt.nColumn);
         if index == 0
             plotData(:,opt.nColumn) = currentData';
@@ -273,9 +274,11 @@
             plotData(:,index) = currentData';
         end
 
+        % Plot the outlet profile of each column in one round
+        SMB.plotFigures(opt, currentData);
 
-%       Convergence criterion was adopted in each nColumn iteration
-%           ||( C(z, t) - C(z, t + nColumn * t_s) ) / C(z, t)|| < tol, for a specific column
+        % Convergence criterion was adopted in each nColumn iteration
+        %   ||( C(z, t) - C(z, t + nColumn * t_s) ) / C(z, t)|| < tol, for a specific column
         if fix(i/opt.nColumn) == i/(opt.nColumn)
 
             diffNorm = 0; stateNorm = 0;
@@ -291,9 +294,6 @@
                 fprintf(' %8d %10d %18g \n', i, i/opt.nColumn, relativeDelta);
             end
 
-%           Plot the outlet profile of each column in one round
-            SMB.plotFigures(opt, plotData);
-
             if relativeDelta <= opt.tolIter
                 break
             else
@@ -306,17 +306,17 @@
 
 %   Post-process
 %----------------------------------------------------------------------------------------
-%   Compute the performance index, such Purity and Productivity
+    % Compute the performance index, such Purity and Productivity
     Results = SMB.Purity_Productivity(plotData, opt);
 
-%   Construct your own Objective Function and calculate the value
+    % Construct your own Objective Function and calculate the value
     objective = SMB.objectiveFunction(Results, opt);
 
     tTotal = toc(tTotal);
-%   Store the final data into DATA.mat file in the mode of forward simulation
+    % Store the final data into DATA.mat file in the mode of forward simulation
     if opt.enableDebug
         fprintf('The time elapsed for reaching the Cyclic Steady State: %g sec \n', tTotal);
-        SMB.concDataConvertToASCII(plotData, opt);
+        SMB.concDataConvertToASCII(currentData, opt);
         SMB.trajDataConvertToASCII(dyncData, opt);
         save(sprintf('Performance_%03d.mat',fix(rand*100)),'Results');
         fprintf('The results about concentration profiles and the trajectories have been stored \n');
diff --git a/version.txt b/version.txt
index 8c26915..6a5fe6e 100644
--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-2.9
+2.11