The Simplex Method is a popular algorithm for solving Linear Programming (LP) problems. Developed by George Dantzig in 1947, it's a powerful tool for optimizing linear objective functions subject to ...

The Nelder-Mead method is a direct search optimization technique that approximates the optimum of a function. This repository contains an educational implementation of the method, complete with ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

John Ogheneortega Oji, Simon Godenaan Datau, Kunle Joseph Akinluwade, Adeyinka Taofeek Taiwo, Dayo Adeyemi Isadare, Sunday Hendrix Pamtoks, Adelana Rasaki Adetunji Department of Materials Science & ...

This is a preview. Log in through your library . Abstract In this paper, a modification of the bisection simplex method is made for more general purpose use. Organized in an alternative simpler form, ...

This is a preview. Log in through your library . Abstract We prove that the classic policy-iteration method [Howard, R. A. 1960. Dynamic Programming and Markov Processes. MIT, Cambridge] and the ...

Perold, André. "A Degeneracy Exploiting LU Factorization for the Simplex Method." In Large Scale Linear Programming, edited by G. B. Dantzig, M. A. H. Dempster, and Markku Kallio. Laxenburg, Austria: ...