Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...

Learn how to choose the right solver, simplify your model, use pre-solving and post-processing, use heuristics and decomposition, and use parallel and distributed computing to solve linear ...

Linear programming can solve various types of logistics problems, such as transportation, assignment, transshipment, routing, location, and inventory.

Since integer programming is NP-hard, lots of computation is needed to solve many of these problems, and in this current implementation, there may be memory issues encountered if the tableaus become ...

This paper is an invited contribution to the 50th anniversary issue of the journal Operations Research, published by the Institute of Operations Research and Management Science (INFORMS). It describes ...

In this paper we report on the solution to optimality of 10 large-scale zero-one linear programming problems. All problem data come from real-world industrial applications and are characterized by ...