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 ...

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

New Scientist takes a look at the simplex algorithm, now over 60 years old, which is used by everyone from fruit suppliers to banks to make decisions about non-linear problems with so many ...

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 ...