Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations

In three linesPosition paper on post-solve robustness in MILP decision engines. Identifies gap: nominally optimal solutions become infeasible under small cost/resource perturbations. Proposes audit layer around incumbent solution, combining certified inner approximations, probabilistic robustness estimation, and solver-backed verification.

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