I'm trying to solve a problem that has noninteger bounds for its variables, the problem and the outputted solution attached. I'm invoking glpsol with the command "glpsol --lp parents_allocated-pulp.lp -o parents_allocated-pulp.sol --mipgap 0.000001".
The trouble is that the upper bound for my "x2" variable is being limited to "217.351" instead of the given "217.3512" and I'm not sure why. Is there some parameter I can pass to make it go past 3 decimal places for the upper bound? I tried --exact and every other parameter that I could see but none helped. Is there some way to increase the number of digits in the bounds? My output with 4.65: GLPSOL: GLPK LP/MIP Solver, v4.65 Parameter(s) specified in the command line: --lp parents_allocated-pulp.lp -o parents_allocated-pulp2.sol --mipgap 0.000001 Reading problem data from 'parents_allocated-pulp.lp'... 2 rows, 7 columns, 8 non-zeros 6 integer variables, none of which are binary 22 lines were read GLPK Integer Optimizer, v4.65 2 rows, 7 columns, 8 non-zeros 6 integer variables, none of which are binary Preprocessing... 1 row, 2 columns, 2 non-zeros 2 integer variables, none of which are binary Scaling... A: min|aij| = 1.000e+00 max|aij| = 7.000e+00 ratio = 7.000e+00 Problem data seem to be well scaled Constructing initial basis... Size of triangular part is 1 Solving LP relaxation... GLPK Simplex Optimizer, v4.65 1 row, 2 columns, 2 non-zeros * 0: obj = 1.100000000e+01 inf = 0.000e+00 (1) * 1: obj = 3.300000000e+01 inf = 0.000e+00 (0) OPTIMAL LP SOLUTION FOUND Integer optimization begins... Long-step dual simplex will be used + 1: mip = not found yet <= +inf (1; 0) + 1: >>>>> 3.300000000e+01 <= 3.300000000e+01 0.0% (1; 0) + 1: mip = 3.300000000e+01 <= tree is empty 0.0% (0; 1) INTEGER OPTIMAL SOLUTION FOUND Time used: 0.0 secs Memory used: 0.1 Mb (59394 bytes) Writing MIP solution to 'parents_allocated-pulp.sol'... Thanks for the help.
parents_allocated-pulp.lp
Description: Binary data
parents_allocated-pulp.sol
Description: Binary data
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