Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

NLPNMS Call nonlinear optimization by Nelder-Mead simplex method CALL NLPNMS ( rc, xr, "fun", x0 <,opt, blc, tc, par, "ptit", "nlc">); See "Nonlinear Optimization and Related Subroutines" for a ...

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.