Originally posted by: T_O
Hmm, I guess, there are numerical problems. It also failed with numerical emphasis enabled. (cf. MILP slack bound error)
CPLEX> dis sol qual
Incumbent solution:
MILP objective 1.3420057275e+05
MILP solution norm |x| (Total, Max) 1.90000e+01 1.00000e+00
MILP solution error (Ax=b) (Total, Max) 7.32015e-14 2.65413e-16
MILP x bound error (Total, Max) 1.57697e-13 2.09589e-14
MILP x integrality error (Total, Max) 3.15399e-13 2.09832e-14
MILP slack bound error (Total, Max) 1.00000e+00 1.00000e+00
Branch-and-cut subproblem optimization:
Max condition number: 6.8972e+18
Percentage (number) of stable bases: 88.29% (3241)
Percentage (number) of suspicious bases: 3.16% (116)
Percentage (number) of unstable bases: 6.56% (241)
Percentage (number) of ill-posed bases: 1.99% (73)
Attention level: 0.039896
CPLEX encountered numerical difficulties while solving this model.
#CPLEXOptimizers#DecisionOptimization