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Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control

Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control

Intended as a reference for researchers and a textbook for students, this book discusses a broad range of methods in stochastic search and optimization. Methods covered include random search, recursive least squares, stochastic approximation, simulated annealing, evolutionary computation, and reinforcement learning.

About This Book

James C. Spall, The Johns Hopkins University Applied Physics Laboratory

John Wiley & Sons, Inc., 2003

ISBN: 0-471-33052-3
Language: English

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