Some Linearization Methods

0Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Because linear programming algorithms are so efficient and in widespread use, together with the limitations of non-linear optimization solvers applied to large models, modelers faced wanting to solve very large models often attempt to linearize the non-linear terms in their models. This chapter introduces various approaches for accomplishing this, often using binary (0, 1) variables.

Cite

CITATION STYLE

APA

Loucks, D. P. (2022). Some Linearization Methods. In International Series in Operations Research and Management Science (Vol. 318, pp. 111–120). Springer. https://doi.org/10.1007/978-3-030-93986-1_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free