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 ...

Dongliang Liu, Peng Zheng, Jianghao Wu, Haotian Yin, Linna Zhang, A new method for cylindricity error evaluation based on increment-simplex algorithm, Science ...

The Nelder-Mead simplex method does not use any derivatives and does not assume that the objective function has continuous derivatives. The objective function itself needs to be continuous.

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

Compared with Levenberg Marquardt, the local and initial value sensitive algorithm, Simplex, a global algorithm, is the only robust and easy method which is irrelevant to initial input value.

YOU MIGHT not have heard of the algorithm that runs the world. Few people have, though it can determine much that goes on in our day-to-day lives: the food we have to eat, our schedule at work ...

The branch-and-bound method with the revised dual simplex for bounded variables is very effective in solving relatively large-size integer linear programming problems. This paper, based on the general ...

In the empirical Bayesian method of Xu (2007), estimation of variance components is achieved by repeated callings of the Nelder and Mead (1965) simplex algorithm.