Global Optimization in Action

Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications

  • János D. Pintér

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 6)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Global Optimization: A Brief Review

    1. Front Matter
      Pages 1-1
    2. János D. Pintér
      Pages 21-37
  3. Partition Strategies in Global Optimization: The Continuous and the Lipschitzian Case

    1. Front Matter
      Pages 39-39
    2. János D. Pintér
      Pages 41-58
    3. János D. Pintér
      Pages 75-89
    4. János D. Pintér
      Pages 111-118
    5. János D. Pintér
      Pages 119-130
  4. Implementation Aspects, Algorithm Modifications, and Stochastic Extensions

  5. Applications

    1. Front Matter
      Pages 237-240
    2. János D. Pintér
      Pages 277-293
    3. János D. Pintér
      Pages 295-301
    4. János D. Pintér
      Pages 317-340
    5. János D. Pintér
      Pages 353-360
    6. János D. Pintér
      Pages 361-382
    7. János D. Pintér
      Pages 383-393
    8. János D. Pintér
      Pages 395-405
    9. János D. Pintér
      Pages 407-422
  6. Back Matter
    Pages 423-479

About this book


In science, engineering and economics, decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibility constraints. In many cases of practical relevance, the optimization problem structure does not warrant the global optimality of local solutions; hence, it is natural to search for the globally best solution(s).
Global Optimization in Action provides a comprehensive discussion of adaptive partition strategies to solve global optimization problems under very general structural requirements. A unified approach to numerous known algorithms makes possible straightforward generalizations and extensions, leading to efficient computer-based implementations. A considerable part of the book is devoted to applications, including some generic problems from numerical analysis, and several case studies in environmental systems analysis and management. The book is essentially self-contained and is based on the author's research, in cooperation (on applications) with a number of colleagues.
Audience: Professors, students, researchers and other professionals in the fields of operations research, management science, industrial and applied mathematics, computer science, engineering, economics and the environmental sciences.


algorithm algorithms clustering complex system global optimization model modeling numerical analysis operations research optimization system

Authors and affiliations

  • János D. Pintér
    • 1
  1. 1.Pintér Consulting ServicesDalhousie UniversityCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4751-2
  • Online ISBN 978-1-4757-2502-5
  • Series Print ISSN 1571-568X
  • Buy this book on publisher's site