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Dynamic Programming and Optimal Control (2 Vol Set), by Dimitri P. Bertsekas
Free PDF Dynamic Programming and Optimal Control (2 Vol Set), by Dimitri P. Bertsekas
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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.
- Sales Rank: #391869 in Books
- Brand: Brand: Athena Scientific
- Published on: 2012-06-18
- Released on: 2007-01-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 6.50" w x 2.00" l, 3.30 pounds
- Binding: Hardcover
- 1270 pages
- Used Book in Good Condition
Review
Review of Vol. I, 3rd Edition: In addition to being very well written and organized, the material has several special features that make the book unique in the class of introductory textbooks on dynamic programming. For instance, it presents both deterministic and stochastic control problems, in both discrete- and continuous-time, and it also presents the Pontryagin minimum principle for deterministic systems together with several extensions. It contains problems with perfect and imperfect information, as well as minimax control methods (also known as worst-case control problems or games against nature). I also has a full chapter on suboptimal control and many related techniques, such as open-loop feedback controls, limited lookahead policies, rollout algorithms, and model predictive control, to name a few. ... In conclusion the book is highly recommendable for an introductory course on dynamic programming and its applications. --Onesimo Hernandez Lerma, in Math Reviews
In this two-volume work Bertsekas caters equally effectively to theoreticians who care for proof of such concepts as the existence and the nature of optimal policies and to practitioners interested in the modeling and the quantitative and numerical solution aspects of stochastic dynamic programming. --Michael Caramanis, in Interfaces
In conclusion, this book is an excellent source of reference ... The main strengths of the book are the clarity of the exposition, the quality and variety of the examples, and its coverage of the most recent advances. --T. W. Archibald, in IMA Jnl. of Mathematics
In this two-volume work Bertsekas caters equally effectively to theoreticians who care for proof of such concepts as the existence and the nature of optimal policies and to practitioners interested in the modeling and the quantitative and numerical solution aspects of stochastic dynamic programming. --Michael Caramanis, in Interfaces
In conclusion, this book is an excellent source of reference ... The main strengths of the book are the clarity of the exposition, the quality and variety of the examples, and its coverage of the most recent advances. --T. W. Archibald, in IMA Jnl. of Mathematics
About the Author
Dimitri Bertsekas is Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and a member of the US National Academy of Engineering. He is the recipient of the 2001 A. R. Raggazini AACC education award, the 2009 INFORMS expository writing award, the 2014 Kachiyan Prize, the 2014 AACC Bellman Heritage Award, and the 2015 Dantzig Prize. He has researched a broad variety of subjects from optimization theory, control theory, parallel and distributed computation, systems analysis, and data communication networks. He has written numerous papers in each of these areas, and he has authored or coauthored sixteen textbooks.
Most helpful customer reviews
2 of 2 people found the following review helpful.
many examples are very helpful for readers like me. However
By Kim Do-Yup
I've read the textbook dealing with DP up to chapter 6. Since this book is approached mathematically, I think it is very well made except a few typos. A bit of unsatisfactoriness for me is the style of the book. I prefer the style introducing the general result first, and then proves why they are derived and where they are derived from. And then, many examples are very helpful for readers like me. However, this book introduces examples first, and then constructs the general form from and using the examples. I am sure that everybody has different styles. My word is just not my type. Nevertheless, the contents that textbook handles are wonderful.
8 of 12 people found the following review helpful.
Understated and overstated all at once
By Amazon Reviewer
After having been exposed to (and purchased) a number of books by Dr. Bertsekas on an eclectic array of topics, I have little doubt about his superb acumen and mastery of many, many subject areas involving applied mathematics. This book is no exception. Further, the legibility of Bertsekas' books score much higher the other two members of the GMTM (the Greek Math Triad of MIT), namely Bertsimas and Tsitsiklis, whose writings are highly esoteric in the purest form of the Archimedian tradition.
However, despite applaudable efforts to make the book more accessible to those on a lower IQ scale than the top-shelf MIT doctoral students, Bertsekas' 2-volume set on DP & Optimal Control still falls short in two key areas: (1) Visualization; and (2) Inconsistency in flow.
Being a product of the multi-media era, I and many of my fellow students are highly-dependent on visualization tools. In my opinion, what is NOT conveyed through lines and lines of cryptic (and author-specific) symbolism and mathematical formulation CAN be effectively conveyed through the strategic (and reasonably-ample) use of graphs and diagrams. Once the reader has a general idea of the gist of the concepts, then the specifics can be stated using precise mathematical language. But until then, the formulations are subject to open and erroneous interpretation (much the same way that few students are able to decipher the true essence of Symphony No. 40 by merely staring at the musical notes on sheets of paper). A picture is worth a thousand Greek symbols.
Inconsistency in flow refers to the fact that certain basic concepts are overstated in the book, while some of the more critical concepts (particularly those involving not-so-obvious algebraic steps in the proofs) are deemed "trivial" by the author, and apparently skipped for the sake of keeping the book to a manageable size. My suggestion is to err on the side of over-inclusion by keeping the proofs to a minimal in the actual text, but making the proofs (with all "trivial" elaborations) available online through the publisher's website (or via an included CD-ROM).
The aforesaid aside, the book is one of the best efforts in providing a comprehensive and modern analysis of DP/MDP, and its later editions do have the potential to claim 4.5-5 stars. In the interim, I recommend Powell's Approximate DP book as a less painful way of learning what I personally consider to be one of the most important topics in combinatorial optimization.
0 of 1 people found the following review helpful.
The best.
By Wen Zhang
Well, I have not gotten any time to read it. But it's classical. The best.
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