© 2012

Global Optimization

A Stochastic Approach


Table of contents

  1. Front Matter
    Pages i-xv
  2. Stefan Schäffler
    Pages 7-19
  3. Stefan Schäffler
    Pages 21-55
  4. Stefan Schäffler
    Pages 75-103
  5. Stefan Schäffler
    Pages 105-117
  6. Back Matter
    Pages 119-147

About this book


This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on large scale problems. It also introduces a new unified concept for unconstrained, constrained, vector, and stochastic global optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail.


The topics presented include the randomized curve of steepest descent, the randomized curve of dominated points, the semi-implicit Euler method, the penalty approach, and active set strategies. The optimal decoding of block codes in digital communications is worked out as a case study and shows the potential and high practical relevance of this new approach.


Global Optimization: A Stochastic Approach is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications.


Large scale optimization Predictor Corrector Method Probability Theory on Manifolds Randomized algorithms Unconstrained Global Optimization Vector Optimization

Authors and affiliations

  1. 1., Fak. Elektro- und InformationstechnikUniversität der Bundeswehr MünchenNeubibergGermany

Bibliographic information

  • Book Title Global Optimization
  • Book Subtitle A Stochastic Approach
  • Authors Stefan Schäffler
  • Series Title Springer Series in Operations Research and Financial Engineering
  • DOI
  • Copyright Information Springer Science+Business Media New York 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Hardcover ISBN 978-1-4614-3926-4
  • Softcover ISBN 978-1-4899-9280-2
  • eBook ISBN 978-1-4614-3927-1
  • Series ISSN 1431-8598
  • Edition Number 1
  • Number of Pages XVI, 148
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Optimization
    Operations Research, Management Science
  • Buy this book on publisher's site


From the reviews:

“This book includes a well-written and structured state-of-the-art survey, which gives the interested reader, both practitioner and researcher, essential information on what is necessary for global optimization. The book also provides information on recent and ongoing scientific investigations worldwide; thus, it invites readers to do their own scientific studies. … We believe that both today’s and future generations of students, teachers, researchers, and industry representatives could benefit from this book.” (Miray Hanım (Aslan) Yıldırım and Gerhard-Wilhelm Weber, Interfaces, Vol. 44 (1), January-February, 2014)

“Introducing stochastic methods, the author presents an elegant and widely applicable new approach to global optimization, constrained or unconstrained, scalar or vector, with special emphasis on large scale problems. … Practical numerical methods are discussed in detail. Numerous explicit examples and problems are given. … Due to three appendices summarizing the tools from probability, the book is self-contained … for the reader familiar with some basics of initial value problems and classical local optimization.” (Heinrich Hering, Zentralblatt MATH, Vol. 1262, 2013)