The article goes on to breathlessly outline use cases for “A.I. companions,” suggesting that some future iteration of chatbots could stand in for mental health professionals, relationship ...

There is no doubt that we can use the new method to solve other sets of equations that we did not have to deal with in previous studies, such as using it to solve partial differential equations, ...

Discover how fuzzy programming methods, such as Chandra Sen's and statistical averaging, can convert multi-objective linear programming problems into single objective functions. Explore numerical and ...

A Java implementation of Simplex Method for solving Linear Programming Problems - tamal8730/LPSolver ...

Many practical problems can be formulated using integer programming. An Integer Linear Program (ILP) can be written as (1). In Richard et al. (2003), the authors present a simplex-based algorithm for ...

An Implementation of Simplex Algorithm to solve "Easy Linear Programming Problems" - reuelrds/SimplexAlgorithm ...

Linear programming is a relatively new mathematical discipline, dating from the invention of the simplex method by G. B. Dantzig in 1947. He proposed the simplex algorithm as an efficient method to ...

This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy linear ...