The Linear Programming Solver |
Iteration Log for the Interior Point Solver |
The interior point solver implements an infeasible primal-dual predictor-corrector interior point algorithm. The following information is displayed in the iteration log:
indicates the iteration number
indicates the (absolute) complementarity
indicates the (relative) duality gap
indicates the (relative) primal infeasibility measure
indicates the (relative) bound infeasibility measure
indicates the (relative) dual infeasibility measure
If the sequence of solutions converges to an optimal solution of the problem, you should see all columns in the iteration log converge to zero or very close to zero. If they do not, it can be the result of insufficient iterations being performed to reach optimality. In this case, you might need to increase the value specified in the option MAXITER= or MAXTIME=. If the complementarity and/or the duality gap do not converge, the problem might be infeasible or unbounded. If the infeasibility columns do not converge, the problem might be infeasible.
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