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 ...

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

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

A Comprehensive Linear Programming Solver Program, Incorporating Diverse Algorithms: Graphical Method, Dantzig's Simplex Method, Bland's Simplex Method, Two-Phase Simplex Method, Dual Method, Dual ...

We study a class of integer bilevel problems, the so-called Integer Linear Multiplicative Bilevel Problem, ILMBP, where the constraints are linear and both the upper level problem and the lower level ...

Web Page code (HTML, CSS, and JavaScript) responsible for an application that, in the context of linear optimization, gives the best solution through the Simplex Method. Made alongside Paulo Henrique ...

The “Diet Problem” (the search of a low-cost diet that would meet the nutritional needs of a US Army soldier) is characterized by a long history, whereas most solutions for comparable diet problems ...

ABSTRACT: The existence of strongly polynomial algorithm for linear programming (LP) has been widely sought after for decades. Recently, a new approach called Gravity Sliding algorithm [1] has emerged ...