Continuous Optimization

Current Trends and Modern Applications

  • Vaithilingam Jeyakumar
  • Alexander Rubinov
Book

Part of the Applied Optimization book series (APOP, volume 99)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Surveys

    1. Front Matter
      Pages 1-1
    2. Alexander G. Ramm, Semion Gutman
      Pages 51-110
    3. Alexander Shapiro, Arkadi Nemirovski
      Pages 111-146
    4. János D. Pintér
      Pages 147-173
    5. Adil M. Bagirov, Julien Ugon
      Pages 175-207
  3. Theory and Numerical Methods

    1. Front Matter
      Pages 249-249
    2. Altannar Chinchuluun, Enkhbat Rentsen, Panos M. Pardalos
      Pages 251-273
    3. Xiaoling Sun, Jianling Li, Duan Li
      Pages 275-291
    4. Nguyen Dinh, Gue Myung Lee, Anh Le Tuan
      Pages 293-319
  4. Applications

    1. Front Matter
      Pages 363-363
    2. Musa Mammadov, Alexander Rubinov, John Yearwood
      Pages 365-385
    3. Charles Pearce, Yalcin Kaya, Selma Belen
      Pages 387-407
    4. Alexander Rubinov, Nadejda Soukhoroukova, Julien Ugon
      Pages 409-434
    5. Phil Howlett, Julia Piantadosi, Charles Pearce
      Pages 435-450

About this book

Introduction

The search for the best possible performance is inherent in human nature. Individuals, enterprises and governments all seek optimal—that is, the best—possible solutions of problems that they meet. Evidently, continuous optimization plays an increasingly significant role in everyday management and technical decisions in science, engineering and commerce.

The collection of 16 refereed papers in this book covers a diverse number of topics and provides a good picture of recent research in continuous optimization. The first part of the book presents substantive survey articles in a number of important topic areas of continuous optimization. Most of the papers in the second part present results on the theoretical aspects as well as numerical methods of continuous optimization. The papers in the third part are mainly concerned with applications of continuous optimization.

Hence, the book will be an additional valuable source of information to faculty, students, and researchers who use continuous optimization to model and solve problems.

 

Audience

This book is intended for researchers in mathematical programming, optimization and operations research; engineers in various fields; and graduate students in applied mathematics, engineering and operations research.

Keywords

Newton's method analysis linear optimization model modeling nonlinear optimization numerical methods optimization programming

Editors and affiliations

  • Vaithilingam Jeyakumar
    • 1
  • Alexander Rubinov
    • 2
  1. 1.University of New South WalesSydneyAustralia
  2. 2.University of BallaratBallaratAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/b137941
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-26769-2
  • Online ISBN 978-0-387-26771-5
  • Series Print ISSN 1384-6485
  • About this book
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