About This Item

Ask the MINDS@UW Librarian

Algorithms and Software for Convex Mixed Integer Nonlinear Programs

Show full item record

File(s):

Author(s)
Bonami, Pierre; Kilinc, Mustafa; Linderoth, Jeff
Publisher
University of Wisconsin-Madison Department of Computer Sciences
Citation
TR1664
Date
2009
Abstract
This paper provides a survey of recent progress and software for solving mixed integer nonlinear programs (MINLP) wherein the objective and constraints are defined by convex functions and integrality restrictions are imposed on a subset of the decision variables. Convex MINLPs have received sustained attention in very years. By exploiting analogies to the case of well-known techniques for solving mixed integer linear programs and incorporating these techniques into the software, significant improvements have been made in our ability to solve the problems.
Permanent link
http://digital.library.wisc.edu/1793/60690 
Export
Export to RefWorks 
‚Äč

Part of

Show full item record

Search and browse




About MINDS@UW

Deposit materials

  1. Register to deposit in MINDS@UW
  2. Need deposit privileges? Contact us.
  3. Already registered? Have deposit privileges? Deposit materials.