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Tétel #:
4140061
Dynamic Programming and Optimal Control
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Tétel #:
4140061
HUF 65946
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A versatile and powerful algorithmic methodology of Dynamic Programming, for optimal control, decision making, planning and optimization
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What Stands Out
Comprehensive Coverage
This edition extensively covers dynamic programming theories and applications, providing readers with a robust foundation in optimal control principles suitable for both beginners and seasoned professionals.
Practical Applications
Real-world examples and case studies are integrated throughout the text, illustrating how dynamic programming can solve complex problems across various fields, enhancing the learning experience and applicability of concepts.
Updated Content
This fourth edition includes the latest advancements in the field, ensuring that readers are equipped with current methodologies and techniques essential for tackling modern challenges in dynamic programming.
Termék leírás
- A two-volume set, consisting of the latest editions of the two volumes (4th edition (2017) for Vol. I, and 4th edition (2012) for Vol. II). Much supplementary material can be found at the book's web page. The first volume is oriented towards modeling, conceptualization, and finite-horizon problems, but also includes a substantive introduction to infinite horizon problems that is suitable for classroom use, as well as an up-to-date account of some of the most interesting developments in approximate dynamic programming. The second volume is oriented towards mathematical analysis and computation, treats infinite horizon problems extensively, and provides a detailed account of approximate large-scale dynamic programming and reinforcement learning. This is a textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization. The treatment focuses on basic unifying themes, and conceptual foundations. It illustrates the versatility, power, and generality of the method with many examples and applications from engineering, operations research, and other fields. It also addresses extensively the practical application of the methodology, possibly through the use of approximations, and provides an introduction to the methodology of Neuro-Dynamic Programming, which is the focus of much recent research.
| Publisher | Athena Scientific |
| Publication date | June 18, 2012 |
| Edition | 4th |
| Language | English |
| Print length | 1270 pages |
| ISBN-10 | 1886529086 |
| ISBN-13 | 978-1886529083 |
| Item Weight | 3.3 pounds (1.5 kg) |
| Dimensions | 6.5 x 2 x 9.25 inches (16.5 x 5.1 x 23.5 cm) |
Who Should Buy?
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Graduate Students
Ideal for students pursuing advanced studies in optimization, control theory, and dynamic programming methodologies.
-
Researchers
Beneficial for researchers exploring new algorithms and applications in decision-making and operational efficiency.
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Professionals
Useful for professionals in engineering, economics, and data science who need to apply dynamic programming techniques.
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Beginners
Not suitable for beginners lacking foundational knowledge of optimization and control concepts as it’s highly technical.
TERMÉKLEÍRÁS
About This Item
Introducing Dynamic Programming and Optimal Control 2 Vol Set 4th Edition! Are you looking for a comprehensive resource on dynamic programming and optimal control? Look no further - Dynamic Programming and Optimal Control is the ultimate guide for learners and practitioners alike. This two-volume set, authored by Dimitri Bertsekas, a renowned expert in the field, covers all aspects of dynamic programming and optimal control. Whether you are interested in theoretical proofs or practical applications, this book caters to all your needs. Volume I of the book offers a unique blend of deterministic and stochastic control problems, presented in discrete and continuous time.
It also explores the Pontryagin minimum principle for deterministic systems, along with several extensions. Dive into the world of perfect and imperfect information, minimax control methods, and suboptimal control techniques such as open-loop feedback controls, limited lookahead policies, and model predictive control. Volume II takes a deep dive into the modeling and quantitative and numerical solution aspects of stochastic dynamic programming. This volume will appeal to practitioners looking for practical solutions and insights into real-world problems. The book has received rave reviews for its clarity of exposition, quality and variety of examples, and coverage of the latest advances in the field.
It is widely recognized as an excellent source of reference for both students and professionals. About the Author: Dimitri Bertsekas is an esteemed McAffee Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He has made significant contributions to optimization theory, control theory, parallel and distributed computation, systems analysis, and data communication networks. With his extensive research background and expertise, Professor Bertsekas has authored or coauthored sixteen textbooks, ensuring that his knowledge is accessible to anyone seeking to deepen their understanding of the subject. If you are looking to master dynamic programming and optimal control, this 2 Vol Set 4th Edition is an essential addition to your library.
Order your copy now and embark on a journey of mastery in this fascinating field!.
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HUF 65946
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Jellemzők és Előnyök
- Two volume set oriented towards modeling, analysis and computation of dynamic programming
- Caters to a range of applications like Markovian decision problems, planning and sequential decision making under uncertainty
- Illustrates versatility, power and generality of method through examples and applications in engineering, operations research
- Addresses practical applications, approximations and provides an introduction to Neuro-Dynamic Programming
- Supplementary material available on the book’s web page
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