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 ...

Catherine PORTE: Doctor of Physical Sciences - Emeritus University Professor - EA7341 – Laboratory of Molecular Chemistry and Chemical and Energy Process Engineering at the Conservatoire National des ...

This repository contains an implementation of the Revised Simplex Method, an algorithm used for solving linear programming optimization problems. The implementation is written in MATLAB. The Revised ...

Traditionally optimization of analytical methods has been conducted using a univariate method, varying each parameter one-by-one holding fixed the remaining. This means in many cases to reach only ...

In this repository, I discuss a method I developed to find optimal experimental designs when there is a random effect. 'Optimal' in this context means that a design will minimize effort while ...

This work presents a systematic approach to determining the significance of the individual factors affecting the analytical performance of in-situ film electrode (FE) for the determination of Zn(II), ...

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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 & ...