The MOSEK Python optimizer API manual Version 7.0 (Revision 141)

D.10. DOUBLE INFORMATION ITEMS 557
dinfitem.intpnt dual obj
Dual objective value reported by the interior-point optimizer.
dinfitem.intpnt factor num flops
An estimate of the number of flops used in the factorization.
dinfitem.intpnt opt status
This measure should converge to +1 if the problem has a primal-dual optimal solution, and
converge to -1 if problem is (strictly) primal or dual infeasible. Furthermore, if the measure
converges to 0 the problem is usually ill-posed.
dinfitem.intpnt order time
Order time (in seconds).
dinfitem.intpnt primal feas
Primal feasibility measure reported by the interior-point optimizers. (For the interior-point
optimizer this measure does not directly related to the original problem because a homogeneous
model is employed).
dinfitem.intpnt primal obj
Primal objective value reported by the interior-point optimizer.
dinfitem.intpnt time
Time spent within the interior-point optimizer since its invocation.
dinfitem.mio construct solution obj
If MOSEK has successfully constructed an integer feasible solution, then this item contains the
optimal objective value corresponding to the feasible solution.
dinfitem.mio heuristic time
Time spent in the optimizer while solving the relaxtions.
dinfitem.mio obj abs gap
Given the mixed-integer optimizer has computed a feasible solution and a bound on the optimal
objective value, then this item contains the absolute gap defined by
Otherwise it has the value -1.0.
dinfitem.mio obj bound
|(objective value of feasible solution) − (objective bound)|.
The best known bound on the objective function. This value is undefined until at least one
relaxation has been solved: To see if this is the case check that iinfitem.mio num relax is
stricly positive.