Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 12:41:44 2018 Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 12:42:20 2018 Academic license - for non-commercial use only Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 1.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 1921660 rows, 1379917 columns and 3843320 nonzeros Variable types: 0 continuous, 1379917 integer (1379917 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 770798.00000 Presolve removed 22455 rows and 22801 columns Presolve time: 0.96s Explored 0 nodes (0 simplex iterations) in 1.37 seconds Thread count was 1 (of 8 available processors) Solution count 1: 770798 Time limit reached Best objective 7.707980000000e+05, best bound -, gap - Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 12:43:01 2018 Academic license - for non-commercial use only Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 1.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 1921660 rows, 1379917 columns and 3843320 nonzeros Variable types: 0 continuous, 1379917 integer (1379917 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 770798.00000 Presolve removed 22455 rows and 22801 columns Presolve time: 0.95s Explored 0 nodes (0 simplex iterations) in 1.35 seconds Thread count was 1 (of 8 available processors) Solution count 1: 770798 Time limit reached Best objective 7.707980000000e+05, best bound -, gap - Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 12:43:58 2018 Academic license - for non-commercial use only Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 1.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 1921660 rows, 1379917 columns and 3843320 nonzeros Variable types: 0 continuous, 1379917 integer (1379917 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 770798.00000 Presolve removed 22455 rows and 22801 columns Presolve time: 0.95s Explored 0 nodes (0 simplex iterations) in 1.36 seconds Thread count was 1 (of 8 available processors) Solution count 1: 770798 Time limit reached Best objective 7.707980000000e+05, best bound -, gap - Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 14:10:03 2018 Academic license - for non-commercial use only Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 12572 rows, 6474 columns and 25144 nonzeros Variable types: 0 continuous, 6474 integer (6474 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 2442.0000000 Presolve removed 12572 rows and 6474 columns Presolve time: 0.02s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.02 seconds Thread count was 1 (of 8 available processors) Solution count 2: 1052 2442 Optimal solution found (tolerance 0.00e+00) Best objective 1.052000000000e+03, best bound 1.052000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 16064 rows, 1005 columns and 32128 nonzeros Variable types: 0 continuous, 1005 integer (1005 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 657.0000000 Presolve removed 15646 rows and 785 columns Presolve time: 0.13s Presolved: 418 rows, 220 columns, 1125 nonzeros Found heuristic solution: objective 588.0000000 Variable types: 0 continuous, 220 integer (220 binary) Root relaxation: objective 5.787500e+02, 219 iterations, 0.00 seconds Nodes | Current Node | Objective Bounds | Work Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time 0 0 578.75000 0 19 588.00000 578.75000 1.57% - 0s H 0 0 581.0000000 578.75000 0.39% - 0s H 0 0 579.0000000 578.75000 0.04% - 0s Explored 1 nodes (275 simplex iterations) in 0.14 seconds Thread count was 8 (of 8 available processors) Solution count 4: 579 581 588 620 Optimal solution found (tolerance 0.00e+00) Best objective 5.790000000000e+02, best bound 5.790000000000e+02, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 14484 rows, 5242 columns and 28968 nonzeros Variable types: 0 continuous, 5242 integer (5242 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 3328.0000000 Presolve removed 14484 rows and 5242 columns Presolve time: 0.02s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.02 seconds Thread count was 1 (of 8 available processors) Solution count 2: 2783 3328 Optimal solution found (tolerance 0.00e+00) Best objective 2.783000000000e+03, best bound 2.783000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 20777 rows, 6301 columns and 41554 nonzeros Variable types: 0 continuous, 6301 integer (6301 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 3076.0000000 Presolve removed 20769 rows and 6293 columns Presolve time: 0.06s Presolved: 8 rows, 8 columns, 16 nonzeros Found heuristic solution: objective 2054.0000000 Variable types: 0 continuous, 8 integer (8 binary) Root relaxation: cutoff, 6 iterations, 0.00 seconds Nodes | Current Node | Objective Bounds | Work Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time 0 0 cutoff 0 2054.00000 2054.00000 0.00% - 0s Explored 0 nodes (6 simplex iterations) in 0.07 seconds Thread count was 8 (of 8 available processors) Solution count 2: 2054 2055 Optimal solution found (tolerance 0.00e+00) Best objective 2.054000000000e+03, best bound 2.054000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 25973 rows, 9877 columns and 51946 nonzeros Variable types: 0 continuous, 9877 integer (9877 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 6116.0000000 Presolve removed 25973 rows and 9877 columns Presolve time: 0.05s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.05 seconds Thread count was 1 (of 8 available processors) Solution count 2: 4981 6116 Optimal solution found (tolerance 0.00e+00) Best objective 4.981000000000e+03, best bound 4.981000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 26013 rows, 8114 columns and 52026 nonzeros Variable types: 0 continuous, 8114 integer (8114 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 3930.0000000 Presolve removed 26013 rows and 8114 columns Presolve time: 0.09s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.09 seconds Thread count was 1 (of 8 available processors) Solution count 2: 2574 3930 Optimal solution found (tolerance 0.00e+00) Best objective 2.574000000000e+03, best bound 2.574000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 31525 rows, 8717 columns and 63050 nonzeros Variable types: 0 continuous, 8717 integer (8717 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 4446.0000000 Presolve removed 31513 rows and 8709 columns Presolve time: 0.12s Presolved: 12 rows, 8 columns, 24 nonzeros Found heuristic solution: objective 3405.0000000 Variable types: 0 continuous, 8 integer (8 binary) Root relaxation: cutoff, 2 iterations, 0.00 seconds Nodes | Current Node | Objective Bounds | Work Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time 0 0 cutoff 0 3405.00000 3405.00000 0.00% - 0s Explored 0 nodes (2 simplex iterations) in 0.13 seconds Thread count was 8 (of 8 available processors) Solution count 2: 3405 3407 Optimal solution found (tolerance 0.00e+00) Best objective 3.405000000000e+03, best bound 3.405000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 31839 rows, 8846 columns and 63678 nonzeros Variable types: 0 continuous, 8846 integer (8846 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 4481.0000000 Presolve removed 31835 rows and 8842 columns Presolve time: 0.12s Presolved: 4 rows, 4 columns, 8 nonzeros Found heuristic solution: objective 3428.0000000 Variable types: 0 continuous, 4 integer (4 binary) Root relaxation: cutoff, 2 iterations, 0.00 seconds Nodes | Current Node | Objective Bounds | Work Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time 0 0 cutoff 0 3428.00000 3428.00000 0.00% - 0s Explored 0 nodes (2 simplex iterations) in 0.13 seconds Thread count was 8 (of 8 available processors) Solution count 1: 3428 Optimal solution found (tolerance 0.00e+00) Best objective 3.428000000000e+03, best bound 3.428000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Changed value of parameter TIME_LIMIT to 5400.0 Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100 Optimize a model with 39994 rows, 10876 columns and 79988 nonzeros Variable types: 0 continuous, 10876 integer (10876 binary) Coefficient statistics: Matrix range [1e+00, 1e+00] Objective range [1e+00, 1e+00] Bounds range [1e+00, 1e+00] RHS range [1e+00, 1e+00] Found heuristic solution: objective 5590.0000000 Presolve removed 39982 rows and 10869 columns Presolve time: 0.14s Presolved: 12 rows, 7 columns, 24 nonzeros Found heuristic solution: objective 4348.0000000 Variable types: 0 continuous, 7 integer (7 binary) Root relaxation: cutoff, 4 iterations, 0.00 seconds Nodes | Current Node | Objective Bounds | Work Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time 0 0 cutoff 0 4348.00000 4348.00000 0.00% - 0s Explored 0 nodes (4 simplex iterations) in 0.15 seconds Thread count was 8 (of 8 available processors) Solution count 1: 4348 Optimal solution found (tolerance 0.00e+00) Best objective 4.348000000000e+03, best bound 4.348000000000e+03, gap 0.0000% Parameter OutputFlag unchanged Value: 1 Min: 0 Max: 1 Default: 1 Changed value of parameter MIPGap to 0.0 Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001 Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 14:10:22 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 14:10:45 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 14:11:10 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Nov 28 14:11:36 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Mon Dec 3 12:10:13 2018 Gurobi 8.0.1 (linux64, Python) logging started Mon Dec 3 12:18:22 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Mon Dec 3 12:19:04 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Dec 19 11:49:16 2018 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Jan 9 19:20:06 2019 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Jan 9 19:30:59 2019 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Jan 9 19:33:12 2019 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Wed Jan 9 19:33:55 2019 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Thu Jan 10 10:31:54 2019 Academic license - for non-commercial use only Gurobi 8.0.1 (linux64, Python) logging started Thu Jan 10 10:32:12 2019 Academic license - for non-commercial use only