Téléchargez le livre : Global Optimization

Global Optimization

A Stochastic Approach de

Éditeur :

Springer


Collection :

Springer Series in Operations Research and Financial Engineering

Paru le : 2012-06-26

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Description

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.
Pages
148 pages
Collection
Springer Series in Operations Research and Financial Engineering
Parution
2012-06-26
Marque
Springer
EAN papier
9781461439264
EAN EPUB
9781461439271
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
31252 Ko
Prix
94,94 €

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