Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jean-Paul Penot
    Pages 1-37
  3. Hoang Tuy, Faiz Al-Khayyal, Phan Thien Thach
    Pages 39-78
  4. Reiner Horst, Nguyen Van Thoai
    Pages 79-105
  5. Nguyen Van Thoai
    Pages 107-129
  6. Stephan Dempe
    Pages 165-193
  7. Panos M. Pardalos, Vladimir L. Boginski, Oleg Alexan Prokopyev, Wichai Suharitdamrong, Paul R. Carney, Wanpracha Chaovalitwongse et al.
    Pages 211-232
  8. Péter Gábor Szabó, Mihály Csaba Markót, Tibor Csendes
    Pages 233-265

About this book


Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex. In addition, once the solutions are found, proof of its optimality is also expected from this methodology. Therefore, with these difficulties in mind, global optimization is becoming an increasingly powerful and important methodology. Essays and Surveys in Global Optimization is the most recent examination of its mathematical capability, power, and wide ranging solutions to many fields in the applied sciences.


Analysis Optimization algorithm algorithm algorithms global optimization mathematical programming optimization programming quadratic programming

Editors and affiliations

  • Charles Audet
    • 1
  • Pierre Hansen
    • 2
  • Gilles Savard
    • 1
  1. 1.École Polytechnique de Montréal and GERADMontréalCanada
  2. 2.HEC Montréal & GERADMontréalCanada

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