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Topics in Nonconvex Optimization

Theory and Applications

  • Shashi Kant Mishra

Part of the Springer Optimization and Its Applications book series (SOIA, volume 50)

Also part of the Nonconvex Optimization and Its Applications book sub series (SOIANOIA, volume 50)

Table of contents

  1. Front Matter
    Pages 1-13
  2. S. K. Neogy, A. K. Das
    Pages 27-46
  3. Y. X. Zhao, S. Y. Wang, L. Coladas Uria, S. K. Mishra
    Pages 79-86
  4. C. S. Lalitha, R. Arora
    Pages 87-100
  5. Qamrul Hasan Ansari, Lai-Jiu Lin
    Pages 147-174
  6. Abdelouahed Hamdi, Shashi K. Mishra
    Pages 175-203
  7. S. K. Padhan, C. Nahak
    Pages 205-214
  8. Back Matter
    Pages 274-275

About this book

Introduction

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 this area. 

Keywords

Nonconvex Optimization Operations Research Optimization

Editors and affiliations

  • Shashi Kant Mishra
    • 1
  1. 1.Faculty of Science, Dept. of MathematicsBanaras Hindu UniversityVaranasiIndia

Bibliographic information