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

High resolution illustration of an anemone simplex, isolated on white background. Engraved by Pierre-Joseph Redoute (1759 - 1840), nicknamed "The Raphael of flowers" and an official court artist of ...

Biodiesel is classified as a fuel obtained from renewable sources and its production has as main objective the gradual replacement of petroleum diesel, encouraging the research and production of this ...

Abstract: Constrained optimization problems are very important and frequently appear in the real world. The /spl alpha/ constrained method is a new transformation method for constrained optimization.

A simple linear solver for the simplex method in tableau form and gomory's cut. The Simplex method(Simplex Algorithm) is an approach to solving linear programming ...

The Simplex method(Simplex Algorithm) is an approach to solving linear programming models by hand using slack variables, tableaus, and pivot variables as a means of ...

Simply put, “adversarial examples” are small image modifications designed to fool an image classifier. Although modern neural networks are trained to defend against common adversarial distortions — ...

The purpose of this research paper is to introduce Easy Simplex Algorithm which is developed by author. The simplex algorithm first presented by G. B. Dantzing, is generally used for solving a Linear ...

A new variant of the Adaptive Method (AM) of Gabasov is presented, to minimize the computation time. Unlike the original method and its some variants, we need not to compute the inverse of the basic ...

Linear programming is the most fundamental optimization problem with applications in many areas including engineering, management, and economics. The simplex method is a practical and efficient ...