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

James C. Spall

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Description:A unique interdisciplinary foundation for real-world problem solvingStochastic 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 searchRecursive linear estimationStochastic approximationSimulated annealingGenetic and evolutionary methodsMachine (reinforcement) learningModel selectionSimulation-based optimizationMarkov chain Monte CarloOptimal experimental designThe 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. To get started finding Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 618

Format: PDF, EPUB & Kindle Edition

Publisher: Wiley-Interscience

Release: 2005

ISBN: 0471441902

Description: A unique interdisciplinary foundation for real-world problem solvingStochastic 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 searchRecursive linear estimationStochastic approximationSimulated annealingGenetic and evolutionary methodsMachine (reinforcement) learningModel selectionSimulation-based optimizationMarkov chain Monte CarloOptimal experimental designThe 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. To get started finding Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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