I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. It no longer is adequate merely to ...

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 after every step of the method.

A special kind of LP models known as Fuzzy Linear Programming (FLP) models include fuzzy constraints. Roughly speaking, fuzzy constrained problems deal with non-probabilistic uncertainty, which is a ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

This article gives a reformulation of the simplex method for quadratic programming having the advantage of generating tableaux with certain symmetry properties. It is proved that this method gives the ...

Basic graduate course in linear programming,Formulation and model building,Geometry of linear programming,The simplex method and its variants,Duality theory and Sensitivity analysis,Decomposition ...

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 finding the optimal solution of an ...