Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming : Theory, Algorithms, Software, and Applications /

This book provides an insightful and comprehensive treatment of convexification and global optimization of continuous and mixed-integer nonlinear programs. Developed for students, researchers, and practitioners, the book covers theory, algorithms, software, and applications.

Bibliographic Details
Main Author:	Tawarmalani, Mohit
Corporate Author:	SpringerLink (Online service)
Other Authors:	Sahinidis, Nikolaos V.
Format:	eBook
Language:	English
Published:	Boston, MA : Springer US, 2002.
Series:	Nonconvex optimization and its applications ; 65.
Subjects:	Mathematics. Chemistry. Electronic data processing. Discrete groups. Mathematical optimization. Operations research. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
Acknowledgements
List of Figures
List of Tables
1. Introduction
2. Convex Extensions
3. Project Disaggregation
4. Relaxations of Factorable Programs
5. Domain Reduction
6. Node Partitioning
7. Implementation
8. Refrigerant Design Problem
9. The Pooling Problem
10. Miscellaneous Problems
11. GAMS/BARON: A Tutorial. A: GAMS Model for Pooling Problems
Bibliography
Index
Author Index.