Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

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 ...

Coursework, models, notes, and solutions from COMP4041: Linear and Discrete Optimization at the University of Nottingham. Topics include linear and integer programming, simplex and branch-and-bound ...

Abstract: In this article, the electrical parameters of the Gate Stack Double Gate (GSDG) MOSFET are optimized utilizing the Simplex-Particle Swarm Optimization (Simplex-PSO) algorithm. The electrical ...

This repository provides a Python-based framework for computing approximations of gradients, Hessians, and experimental third-order derivatives, with additional MATLAB implementations. The main ...