The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

This program enables to find the optimal solution of a mathematical model with explicit formulation information using the simplex algorithm and (if the variables are integers) the branch-bound ...

This is two cpp program that one of them for solving Linear Programing(LP) problem with simplex method print step by step simplex tables. it also supports both Big M method and Two-Phase method for ...

Abstract: A new heuristic optimization algorithm is presented to solve the nonlinear optimization problems. The proposed algorithm utilizes a stochastic method to achieve the optimal point based on ...

An issue crossing both philosophy and computing is the ontology of algorithms, and my claim that their proper characterization is imperative crosses into linguistics as well. As the philosophy of ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...