Global Optimization of Mixed-Integer Models with Quadratic and Signomial Functions: A Review
Author(s): Misener, R; Floudas, CA
DownloadTo refer to this page use:
http://arks.princeton.edu/ark:/88435/pr13v9z| Abstract: | Mixed-integer quadratically-constrained quadratic programs (MIQCQP) and mixed-integer signomial optimization problems (MISO) are two important classes of mixed-integer nonconvex programs (nonconvex MINLP). This review discusses the practical applications of MIQCQP and MISO, and covers algorithms designed to globally optimize them. We also describe numerical optimization software designed to solve these classes of problems. |
| Publication Date: | 2012 |
| Citation: | Misener, Ruth, and Christodoulos A. Floudas. "Global Optimization of Mixed-Integer Models with Quadratic and Signomial Functions: A Review." Applied and Computational Mathematics 11, no. 3 (2012): 317-336. |
| ISSN: | 1683-3511 |
| EISSN: | 1683-6154 |
| Pages: | 317 - 336 |
| Type of Material: | Journal Article |
| Journal/Proceeding Title: | Applied and Computational Mathematics |
| Version: | Author's manuscript |
Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.