The Nelder-Mead simplex method is one of the subroutines that can solve optimization problems with nonlinear constraints. It does not use any derivatives, and it does not assume that the objective ...

Since the Nelder-Mead simplex algorithm does not use derivatives, no termination criteria are available that are based on the gradient of the objective function. In addition to the criteria used by ...

New Scientist takes a look at the simplex algorithm, now over 60 years old ... arrived at was that the optimum value of the “target function” – the thing we want to maximize or minimize ...