Originally posted by: dbaena
hi, i have a problem and i don't know what happens...i explain:
I have the same problem, I use Cplex C++ Library, cplex 12.1 If I use simplex primal I obtain:
Using devex.
Iteration log . . .
Iteration: 1 Objective = 0.000000
Iteration: 21 Objective = 0.000000
Iteration: 239 Objective = 0.000000
Iteration: 384 Objective = 0.000000
Iteration: 521 Objective = 0.000000
Perturbation started.
Iteration: 602 Objective = 0.000000
Iteration: 756 Objective = 0.022364
Iteration: 897 Objective = 0.039677
Iteration: 1035 Objective = 0.053050
Iteration: 1176 Objective = 0.064888
Iteration: 1319 Objective = 0.077251
Iteration: 1452 Objective = 0.087670
Iteration: 1589 Objective = 0.098455
Iteration: 1723 Objective = 0.107317
Iteration: 1856 Objective = 0.116681
Iteration: 1990 Objective = 0.127404
Iteration: 2141 Objective = 0.138282
Iteration: 2294 Objective = 0.147497
Iteration: 2436 Objective = 0.155785
Iteration: 2583 Objective = 0.161109
Iteration: 2735 Objective = 0.165421
Iteration: 2888 Objective = 0.170307
Iteration: 3050 Objective = 0.175496
Iteration: 3209 Objective = 0.181585
Iteration: 3360 Objective = 0.186767
Iteration: 3523 Objective = 0.193124
Iteration: 3693 Objective = 0.200859
Iteration: 3852 Objective = 0.207834
Iteration: 4028 Objective = 0.215991
Iteration: 4207 Objective = 0.223898
Iteration: 4393 Objective = 0.231754
Iteration: 4596 Objective = 0.240617
Removing perturbation.
If after,I do a little change in the objective function and in one constraint and I solve the problem using simplex primal, I obtain:
Using devex.
Iteration log . . .
Iteration: 1 Scaled infeas = 0.036395
Iteration: 8 Objective = 0.000000
Iteration: 247 Objective = 0.000000
Iteration: 262 Objective = 0.000000
Iteration: 481 Objective = 0.000000
Perturbation started.
Iteration: 610 Objective = 0.000000
Iteration: 757 Objective = 0.021236
Iteration: 909 Objective = 0.040795
Iteration: 1065 Objective = 0.053508
Iteration: 1217 Objective = 0.064672
Iteration: 1375 Objective = 0.074570
Iteration: 1523 Objective = 0.086087
Iteration: 1675 Objective = 0.097323
Iteration: 1832 Objective = 0.108842
Iteration: 1989 Objective = 0.120515
Iteration: 2173 Objective = 0.136447
Iteration: 2355 Objective = 0.157850
Iteration: 2509 Objective = 0.181961
Removing perturbation.
So, it seems OK!!
Moreover, when I do getValues I obtain different values (maybe 0 or maybe not...).
However, if I use dual simplex...
The first time I solve this problem i obtain:
Initializing dual steep norms . . .
Iteration log . . .
Iteration: 1 Scaled dual infeas = 0.000000
Iteration: 2 Dual objective = 1.000000
Perturbation started.
Iteration: 103 Dual objective = 1.000000
Removing perturbation.
Iteration: 144 Dual objective = 1.000000
However, when I do a little change in objective function and constraint (the same as before) I obtain:
Reinitializing dual norms . . .
and the same values that before!!!
So, someone knows what happens! It's very weird...
thanks a lot!!
#CPLEXOptimizers#DecisionOptimization