Introduction to Stochastic Search and Optimization

James C. Spall

ISBN 10: 0471330523 ISBN 13: 9780471330523

Edit� par Wiley-Interscience Publishing, 2003

Langue: anglais

Ancien(s) ou d'occasion Etat : Very Good Couverture rigide

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Very Good; Hardcover; Covers are still glossy; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium-Large Format (Quatro, 9.75" - 10.75" tall); Dark green covers with title in light green lettering; 2003, Wiley-Interscience Publishing; 618 pages; "Introduction to Stochastic Search and Optimization," by James C. Spall. N� de r�f. du vendeur SKU-373AC00512131

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D�tails bibliographiques

Titre : Introduction to Stochastic Search and ...

�diteur : Wiley-Interscience Publishing

Date d'�dition : 2003

Reliure : Couverture rigide

Etat : Very Good

A propos de ce titre

Synopsis :

Book by James C Spall

Pr�sentation de l'�diteur:

A unique interdisciplinary foundation for real–world problem solving

Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing the most efficient timing strategies for traffic signals, or making investment decisions in order to increase profits, stochastic algorithms can help researchers and practitioners devise optimal solutions to countless real–world problems.

Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate–level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current literature and providing students, researchers, and practitioners with a strong foundation for the often–daunting task of solving real–world problems.

The text covers a broad range of today s most widely used stochastic algorithms, including:

Random search
Recursive linear estimation
Stochastic approximation
Simulated annealing
Genetic and evolutionary methods
Machine (reinforcement) learning
Model selection
Simulation–based optimization
Markov chain Monte Carlo
Optimal experimental design

The book includes over 130 examples, Web links to software and data sets, more than 250 exercises for the reader, and an extensive list of references. These features help make the text an invaluable resource for those interested in the theory or practice of stochastic search and optimization.

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Salish Sea Books
WA, U.S.A.

Conditions de vente :

Thank you for taking an interest in one of our books. We are a mail-order only bookstore located in Bellingham, WA specializing in modern out-of-print books of all genres.

If you are an international customer, we ship internationally by UPS Worldwide Expedited. The average delivery time is 1 to 2 weeks, and each shipment can be fully tracked at www.ups.com. For international shipments, it is important to provide a valid phone number with your order. Most international shipments are delivered wit...

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Articles li�s � Introduction to Stochastic Search and Optimization

Introduction to Stochastic Search and Optimization

James C. Spall

Ancien(s) ou d'occasion - Couverture rigide

Informations commerciales relatives au vendeur