Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

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

A new approach to the local and global explanation based on selecting a convex hull constructed for the finite number of points around an explained instance is proposed. The convex hull allows us to ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

Add a description, image, and links to the simplex-algorithm topic page so that developers can more easily learn about it.

A Simple C++ Implementation of the Lemon Optimization Library to Solve a Minimum Cost Flow problem in a given Graph Network with Supply/Demand Values of Nodes and Capacity, Unit Cost of Flow for each ...

Abstract: Series of devices are included in the power system networks for the safety of the people and components from faults. They are mainly required because high current may cause damage to devices ...