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solution_summary should report multiple solutions #3136
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I played around locally, but this didn't seem to be an improvement: julia> solution_summary(model)
* Solver : Gurobi
* Status
Result count : 20
Termination status : OPTIMAL
Solution #1
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #2
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #3
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #4
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #5
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #6
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #7
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #8
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #9
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #10
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #11
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #12
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #13
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #14
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #15
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #16
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #17
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #18
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #19
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Solution #20
Primal status : FEASIBLE_POINT
Dual status : NO_SOLUTION
Message from the solver:
"Model was solved to optimality (subject to tolerances), and an optimal solution is available."
* Candidate solution
Objective value : 0.00000e+00
Objective bound : 0.00000e+00
Relative gap : 0.00000e+00
Dual objective value : 0.00000e+00
* Work counters
Solve time (sec) : 6.40609e-01
Barrier iterations : 0
Node count : 11391 And the default case of julia> solution_summary(model)
* Solver : HiGHS
* Status
Result count : 1
Termination status : OPTIMAL
Solution #1 (default)
Primal status : FEASIBLE_POINT
Dual status : FEASIBLE_POINT
Message from the solver:
"kHighsModelStatusOptimal" just adds noise. The discourse problem is really a bug in Mosek.jl. |
Maybe make it a bit more visible that we are truncating solutions:
|
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It'd be helpful if
solution_summary
gave the number of solutions, as well as their statuses. This would have helped diagnose https://discourse.julialang.org/t/mosek-does-not-give-the-optimal-value-derived-by-simplex-methods/90727The text was updated successfully, but these errors were encountered: