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gurobi.log
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Gurobi 8.1.1 (mac64, Python) logging started Tue Oct 22 18:39:54 2019
Academic license - for non-commercial use only
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.03s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.05 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.02s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.03 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.01s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.02 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.03s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.05 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.02s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.03 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.02s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.03 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.01s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.02 seconds
Optimal objective -0.000000000e+00
Optimize a model with 6 rows, 2 columns and 10 nonzeros
Coefficient statistics:
Matrix range [1e+00, 2e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [1e+02, 1e+02]
Presolve removed 6 rows and 2 columns
Presolve time: 0.02s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 -0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.05 seconds
Optimal objective -0.000000000e+00
Gurobi 8.1.1 (mac64, Python) logging started Mon Nov 4 18:17:24 2019
Academic license - for non-commercial use only
Optimize a model with 150 rows, 250 columns and 275 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [0e+00, 0e+00]
Found heuristic solution: objective 12.0000000
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 12
Optimal solution found (tolerance 1.00e-04)
Best objective 1.200000000000e+01, best bound 1.200000000000e+01, gap 0.0000%
Optimize a model with 25 rows, 250 columns and 25 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [0e+00, 0e+00]
Found heuristic solution: objective 12.0000000
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 12
Optimal solution found (tolerance 1.00e-04)
Best objective 1.200000000000e+01, best bound 1.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [0e+00, 0e+00]
Found heuristic solution: objective 12.0000000
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 12
Optimal solution found (tolerance 1.00e-04)
Best objective 1.200000000000e+01, best bound 1.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.02s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.05 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.04 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.04 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 30 rows, 250 columns and 150 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 30 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.04 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 5 rows, 250 columns and 125 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 5 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.05 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 5 rows, 250 columns and 125 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 5 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.06 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 110 rows, 250 columns and 310 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 110 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.06 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 110 rows, 250 columns and 310 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 110 rows and 250 columns
Presolve time: 0.01s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.05 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 110 rows, 250 columns and 310 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 110 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.05 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 110 rows, 250 columns and 310 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [4e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 12.0000000
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 12
Optimal solution found (tolerance 1.00e-04)
Best objective 1.200000000000e+01, best bound 1.200000000000e+01, gap 0.0000%
Optimize a model with 115 rows, 250 columns and 320 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 115 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 115 rows, 250 columns and 320 nonzeros
Variable types: 0 continuous, 250 integer (250 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 115 rows and 250 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Gurobi 8.1.1 (mac64, Python) logging started Tue Nov 5 15:56:46 2019
Academic license - for non-commercial use only
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 112.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.01s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.04 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 75 112
Optimal solution found (tolerance 1.00e-04)
Best objective 7.500000000000e+01, best bound 7.500000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 120.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 75 120
Optimal solution found (tolerance 1.00e-04)
Best objective 7.500000000000e+01, best bound 7.500000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 109.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 66 109
Optimal solution found (tolerance 1.00e-04)
Best objective 6.600000000000e+01, best bound 6.600000000000e+01, gap 0.0000%
Optimize a model with 10 rows, 50 columns and 30 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 22.0000000
Presolve removed 10 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 22
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 22 30
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 40 rows, 50 columns and 130 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Presolve removed 25 rows and 42 columns
Presolve time: 0.00s
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 0
Model is infeasible
Best objective -, best bound -, gap -
Optimize a model with 39 rows, 50 columns and 120 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Presolve removed 26 rows and 50 columns
Presolve time: 0.00s
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 0
Model is infeasible
Best objective -, best bound -, gap -
Optimize a model with 39 rows, 50 columns and 120 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Presolve removed 26 rows and 50 columns
Presolve time: 0.00s
Explored 0 nodes (0 simplex iterations) in 0.06 seconds
Thread count was 1 (of 4 available processors)
Solution count 0
Model is infeasible
Best objective -, best bound -, gap -
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.05 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.04 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 35 rows, 50 columns and 80 nonzeros
Variable types: 0 continuous, 50 integer (50 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 35 rows and 50 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 31 rows, 30 columns and 76 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 31 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 11 rows, 30 columns and 51 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 35.0000000
Presolve removed 11 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 22 35
Optimal solution found (tolerance 1.00e-04)
Best objective 2.200000000000e+01, best bound 2.200000000000e+01, gap 0.0000%
Optimize a model with 10 rows, 30 columns and 46 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 10 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 15 rows, 30 columns and 51 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 30.0000000
Presolve removed 15 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 1: 30
Optimal solution found (tolerance 1.00e-04)
Best objective 3.000000000000e+01, best bound 3.000000000000e+01, gap 0.0000%
Optimize a model with 11 rows, 30 columns and 56 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 37.0000000
Presolve removed 11 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.03 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 33 37
Optimal solution found (tolerance 1.00e-04)
Best objective 3.300000000000e+01, best bound 3.300000000000e+01, gap 0.0000%
Optimize a model with 11 rows, 30 columns and 56 nonzeros
Variable types: 0 continuous, 30 integer (30 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e+00, 2e+01]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+00]
Found heuristic solution: objective 37.0000000
Presolve removed 11 rows and 30 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.02 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 33 37
Optimal solution found (tolerance 1.00e-04)
Best objective 3.300000000000e+01, best bound 3.300000000000e+01, gap 0.0000%
Optimize a model with 14 rows, 30 columns and 86 nonzeros