GaussianElimination1_pivoting.m

n = 3;                         % the number of equations    
A=[1 1 1; 1 1 2; -1 2 2];     %define the 3x3 matrix A
b=[1;2;1];                     %define the column vector b
B = [A b]                      % 3x4 matrix                           
L = eye(3)                     % 3x3 identity matrix
P=eye(n)                       %3x3 matrix for permutation matrix P

for k=1:n-1                    % step number (and row to be multipied)
    display('Step')
    k
    %%%%%Partial pivoting strategy
    [t,r]=max(abs(B(k:n,k))); %stores the maximum absolute value of b_{ik}
                           %for i=k,...n
                           %r stores the index of the element t
     %row number is offset by k-1
     r=k-1+r;
     %interchange row (B(k,:)) and row (B(r,:)) of B
     B([
     %interchange row (P(k,:)) and row (P(r,:)) of P
     %FILL IN THIS GAP
     %interchange L(k,1:k-1) and L(r,1:k-1)
     %FILL IN THIS GAP
     %%%%%%%%%end of partial pivoting strategy
     for i=k+1:n %row number to be changed
        L(i,k)=B(i,k)/B(k,k);  % this is the multiplier 
        B(i,:)= B(i,:)-L(i,k)*B(k,:)  % row operation 
    end
    display('Matrix after the k-th elimination step is ')
    B
   
end

display('Upper triangular matrix U= ')
U=B(:,1:n) %Upper triangular matrix U

display('Lower triangular matrix L= ')
L %Lower triangular matrix L

display('LU=')
L*U

%perform backward substitution
x=B(:,n+1);
x(n)=B(n,n+1)/B(n,n);
for i=n-1:-1:1
    x(i)=(B(i,n+1)-B(i,i+1:n)*x(i+1:n))/B(i,i);
end
%solution
display('The computed solution is x=')
x