Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Published by Boston, MA, Springer., 2003
ISBN 10: 144195354X ISBN 13: 9781441953544
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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Add to basketXXVII, 554 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Operations Research / Computer Science Interfaces Series, 25. Sprache: Englisch.
Seller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: Moe's Books, Berkeley, CA, U.S.A.
Soft cover. Condition: Very good. No jacket. Second edition. Spine is cocked. Cover edges are slightly worn. Fore and bottom edges are stained, but readability is not impacted. Back binding glue is exposed. Inside is unmarked.
Published by Kluwer Academic Publishers, 2003
ISBN 10: 1402074549 ISBN 13: 9781402074547
Language: English
Seller: Ammareal, Morangis, France
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Add to basketHardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 137.59
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 147.88
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Seller: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Fine.
Published by Springer US, Springer US, 2016
ISBN 10: 1489977317 ISBN 13: 9781489977311
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 146.05
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.Key features of this revised and improved Second Edition include: Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming(value and policy iteration) for discounted, average, and total reward performance metrics An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential EquationsThemed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems,electrical and computer), operations research, computer science and applied mathematics.
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In English.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 508.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 534 pages. 9.25x6.10x1.18 inches. In Stock.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 217.86
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: California Books, Miami, FL, U.S.A.
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Add to basketPaperback. Condition: Like New. Like New. book.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. Interactive media are a human-machine interface that allows people to connect with each other by making them active participants in the media they consume through text, graphics, audio and video. This book presents the challenges and opportunities presented by emerging media technologies to explore usability evaluation. It covers the current trends in interactive media technologies such as, Social Media, Dark Patterns, Internet of Things (IoT), Android Development, Assistive Technologies and Augmented Reality (AR) / Virtual Reality (VR). It explores various application areas such Education, Film and Television, Agriculture, Cyber Security, Bird Conservation, Smart Vehicles, Fashion Technology and e-Learning.Key features of this edited book are as follows: Evaluates related Interactive Media Technologies and Applications for assessment and enhancement of their usability Illustrates current discussions on Interactive Media Technologies such as Social Media, Dark Patterns, Internet of Things (IoT), Android Development, Assistive Technologies and Augmented Reality (AR) / Virtual Reality (VR) Includes various case studies from application areas such as Education, Film and Television, Agriculture, Cyber Security, Bird Conservation, Smart Vehicles, Fashion Technology and e-Learning, which are helpful for researchers Presents concept illustrations with appropriate figures, tables and suitable descriptions in a reader-friendly way This book is ideal for both beginners and experts working in the fields of HCI, Multimedia Techniques and Next-Gen Technologies. Interactive media are a human-machine interface that allows people to connect with each other by making them active participants in the media they consume through text, graphics, audio and video. This book presents the challenges and opportunities presented by emerging media technologies to explore usability evaluation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032664797 ISBN 13: 9781032664798
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 224.95
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Seller: moluna, Greven, Germany
US$ 190.06
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Published by Springer US, Springer US, 2014
ISBN 10: 1489974903 ISBN 13: 9781489974907
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 215.10
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.Key features of this revised and improved Second Edition include: Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming(value and policy iteration) for discounted, average, and total reward performance metrics An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential EquationsThemed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems,electrical and computer), operations research, computer science and applied mathematics.