Nelder-Mead Simplex Optimization (NMSIMP) The Nelder-Mead simplex method does not use any derivatives and does not assume that the objective function has continuous derivatives.

Since the 1970s, several authors have studied the structure of the set partitioning polytope and proposed adaptations of the simplex algorithm that find an optimal solution via a sequence of basic ...

The mission to improve the widely used simplex-method algorithm showed instead why it works so well.

PROC NETFLOW solves network problems that can have side constraints. Certain algebraic features of networks are exploited by a specialized version of the Simplex method so that solution times are ...

MIT, Cambridge] and the original simplex method with the most-negative-reduced-cost pivoting rule of Dantzig are strongly polynomial-time algorithms for solving the Markov decision problem (MDP) with ...