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 ...

These criteria are useful when you want to divide a time-consuming optimization problem into a series of smaller problems. Since the Nelder-Mead simplex algorithm does not use derivatives, no ...

This is a preview. Log in through your library . Abstract A computational procedure based on the results of Barankin and Dorfman [1], for minimising a convex quadratic function subject to linear ...