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Introduction to Stochastic Search and..., James C Spall
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ApproximatelyRM 215.04
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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eBay item number:354621078028
Item specifics
- Condition
- Book Title
- Introduction to Stochastic Search and Optimization: Estimation...
- ISBN
- 0471330523
- EAN
- 9780471330523
- Date of Publication
- 20030425
- Release Title
- Introduction to Stochastic Search and Optimization: Estimation...
- Artist
- James C Spall
- Brand
- N/A
- Colour
- N/A
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471330523
ISBN-13
9780471330523
eBay Product ID (ePID)
499132
Product Key Features
Number of Pages
618 Pages
Publication Name
Introduction to Stochastic Search and Optimization : Estimation, Simulation, and Control
Language
English
Publication Year
2003
Subject
Probability & Statistics / Stochastic Processes, Applied, Optimization
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Discrete Mathematics and Optimization Ser.
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
43.6 Oz
Item Length
10.2 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-038049
Dewey Edition
21
Reviews
"This volume deserves a prominent role not only as a textbook, but also as a desk reference for anyone who must cope with noisy data..." ( Computing Reviews.com , January 6, 2006) "...well written and accessible to a wide audience...a welcome addition to the control and optimization community." ( IEEE Control Systems Magazine , June 2005) "...a step toward learning more about optimization techniques that often are not part of a statistician's training." ( Journal of the American Statistical Association , December 2004) "...provides easy access to a very broad, but related, collection of topics..." ( Short Book Reviews , August 2004) "Rather than simply present various stochastic search and optimization algorithms as a collection of distinct techniques, the book compares and contrasts the algorithms within a broader context of stochastic methods." ( Technometrics , August 2004, Vol. 46, No. 3)
Series Volume Number
64
Illustrated
Yes
Dewey Decimal
519.2
Table Of Content
Preface. Stochastic Search and Optimization: Motivation and Supporting Results. Direct Methods for Stochastic Search. Recursive Estimation for Linear Models. Stochastic Approximation for Nonlinear Root-Finding. Stochastic Gradient Form of Stochastic Approximation. Stochastic Approximation and the Finite-Difference Method. Simultaneous Perturbation Stochastic Approximation. Annealing-Type Algorithms. Evolutionary Computation I: Genetic Algorithms. Evolutionary Computation II: General Methods and Theory. Reinforcement Learning via Temporal Differences. Statistical Methods for Optimization in Discrete Problems. Model Selection and Statistical Information. Simulation-Based Optimization I: Regeneration, Common Random Numbers, and Selection Methods. Simulation-Based Optimization II: Stochastic Gradient and Sample Path Methods. Markov Chain Monte Carlo. Optimal Design for Experimental Inputs. Appendix A. Selected Results from Multivariate Analysis. Appendix B. Some Basic Tests in Statistics. Appendix C. Probability Theory and Convergence. Appendix D. Random Number Generation. Appendix E. Markov Processes. Answers to Selected Exercises. References. Frequently Used Notation. Index.
Synopsis
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., * Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets., 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.
LC Classification Number
QA274.S63 2003
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Seller feedback (270,349)
- f***t (273)- Feedback left by buyer.Past monthVerified purchaseGood product at a good price delivered well, Thank you!
- 0***0 (1366)- Feedback left by buyer.Past monthVerified purchasegreat seller, well packaged and fast post
- h***j (507)- Feedback left by buyer.Past monthVerified purchaseGreat book! Fast shipping!