Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science.
This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field.
Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in thisarea.
| ISBN: | 9781441996398 |
| Publication date: | 30th May 2011 |
| Author: | Shashi Kant Mishra |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 268 pages |
| Series: | Springer Optimization and Its Applications |
Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science.This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009.
Hardback. Not Available.
Topics in Nonconvex Optimization was written by Shashi Kant Mishra and published by Springer an imprint of Springer New York
Topics in Nonconvex Optimization has 268 pages
Yes it is part of Springer Optimization and Its Applications series