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Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Enginee)

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Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Enginee) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This volume presents its author's pioneering stochastic approach to global optimization across a range of disciplines, including mathematics and engineering. The new method confronts constrained and unconstrained problems and unifies our conceptual framework.

Table of Contents

Preface.- Introduction.- Preliminaries.- The Approach.- Theoretical Results.- The Algorithm.- Numerical Results.- References.- Index

Product Details

ISBN:
9781461439264
Author:
Sch Ffler, Stefan
Publisher:
Springer
Author:
Schäffler, Stefan
Author:
Schffler, Stefan
Subject:
Applied
Subject:
Large Scale Optimization
Subject:
Predictor Corrector Method
Subject:
Probability Theory on Manifolds
Subject:
randomized algorithms
Subject:
Unconstrained Global Optimization
Subject:
Vector Optimization
Subject:
OPTIMIZATION
Subject:
Operations Research, Management Science
Subject:
Mathematics-Applied
Copyright:
Edition Description:
2012
Series:
Springer Series in Operations Research and Financial Engineering
Publication Date:
20120701
Binding:
HARDCOVER
Language:
English
Pages:
162
Dimensions:
235 x 155 mm

Related Subjects

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Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » Probability Theory

Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Enginee) New Hardcover
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Product details 162 pages Springer - English 9781461439264 Reviews:
"Synopsis" by , This volume presents its author's pioneering stochastic approach to global optimization across a range of disciplines, including mathematics and engineering. The new method confronts constrained and unconstrained problems and unifies our conceptual framework.
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