Stochastic and Global Optimization

Author:   G. Dzemyda ,  V. Saltenis ,  A. Žilinskas
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   59
ISBN:  

9781441952097


Pages:   237
Publication Date:   08 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Stochastic and Global Optimization


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Overview

This book is dedicated to the 70th birthday of Professor J. Mockus, whose scientific interests include theory and applications of global and discrete optimization, and stochastic programming. The papers for the book were selected because they relate to these topics and also satisfy the criterion of theoretical soundness combined with practical applicability. In addition, the methods for statistical analysis of extremal problems are covered. Although statistical approach to global and discrete optimization is emphasized, applications to optimal design and to mathematical finance are also presented. The results of some subjects (e.g., statistical models based on one-dimensional global optimization) are summarized and the prospects for new developments are justified. Audience: Practitioners, graduate students in mathematics, statistics, computer science and engineering.

Full Product Details

Author:   G. Dzemyda ,  V. Saltenis ,  A. Žilinskas
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   59
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441952097


ISBN 10:   1441952098
Pages:   237
Publication Date:   08 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Topographical Differential Evolution Using Pre-calculated Differentials.- Optimal Tax Depreciation in Stochastic Investment Model.- Global Optimisation of Chemical Process Flowsheets.- One-dimensional Global Optimization Based on Statistical Models.- Animated Visual Analysis of Extremal Problems.- Test Problems for Lipschitz Univariate Global Optimization with Multiextremal Constraints.- Numerical Techniques in Applied Multistage Stochastic Programming.- On the Efficiency and Effectiveness of Controlled Random Search.- Discrete Backtracking Adaptive Search for Global Optimization.- Parallel Branch-and-bound Attraction Based Methods for Global Optimzation.- On Solution of Stochastic Linear Programs by Discretization Methods.- The Structure of Multivariate Models and the Range of Definition.- Optimality Criteria for Investment Projects Under Uncertainty.

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