This blog post discusses challenges encountered when using Simplex solvers in GAMS and Xpress, specifically when they return nonoptimal or infeasible solutions. It examines potential reasons for these outcomes and suggests workarounds to retrieve useful information from the solver despite iteration limits being reached. The post offers practical insights and code examples for developers working with linear programming models.