Mcplib: A collection of nonlinear mixed complementarity problems

223Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The origins and some motivational details of a collection of nonlinear mixed complementarity problems are given. This collection serves two purposes. Firstly, it gives a uniform basis for testing currently available and new algorithms for mixed complementarity problems. Function and Jacobian evaluations for the resulting problems are provided via a GAMS interface, making thorough testing of algorithms on practical complementarity problems possible. Secondly, it gives examples of how to formulate many popular problem formats as mixed complementarity problems and how to describe the resulting problems in GAMS format. We demonstrate the ease and power of formulating practical models in the MCP format. Given these examples, it is hoped that this collection will grow to include many problems that test complementarity algorithms more fully. The collection is available by anonymous ftp. Computational results using the PATH solver covering all of these problems are described. © 1995, Taylor & Francis Group, LLC. All rights reserved.

Cite

CITATION STYLE

APA

Dirkse, S. P., & Ferris, M. C. (1995). Mcplib: A collection of nonlinear mixed complementarity problems. Optimization Methods and Software, 5(4), 319–345. https://doi.org/10.1080/10556789508805619

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