books by Dimitri P. Bertsekas     books:     Dimitri P. Bertsekas      Dynamic Programming & Optimal Control, Vol. I Dimitri P. Bertsekas Athena Scientific, 2005 Best book I've used so far. This book does a very good job presenting both deterministic and stochastic optimal control. The author does a particularly good job in presenting the derivation of the Bellman equation and its relation to variational formulations for deterministic optimal control. ...             Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3) Dimitri P. Bertsekas, John N. Tsitsiklis Athena Scientific, 1996 From the author of Approximate Dynamic Programming Neuro-Dynamic Programming was, and is, a foundational reference for anyone wishing to work in the field that goes under names such as approximate dynamic programming, adaptive dynamic programming, reinforcement learning or, as a result of this book, neuro-dynamic ...             Network Optimization: Continuous and Discrete Models (Optimization, Computation, and Control) Dimitri P. Bertsekas Athena Scientific, 1998 Challenging & Succesful Treatment of the Subject Bertsakas's Network Optimization is probably the most challenging graduate textbook on network flows and optimization. Besides the chapters on classical subjects as shortest path or max-flow/min-cost problems, (which are very rigorously dealt despite their very ...             Data Networks (2nd Edition) (Pie) Dimitri P. Bertsekas, Gallager Prentice Hall, 1992 I bought this at 2002. I bought this book at 2002, 10 years after the publishing. I read as text book of networkin protocol. Especially, slotted multiaccess and aloha system. My PhD paper was based on delay models in data networsk such as section 3. Thanks.             Dynamic Programming and Optimal Control (2 Vol Set) Dimitri P. Bertsekas Athena Scientific, 2007 Excellent book *This is easily the best book on dynamic programming. It certainly is the most up-to-date book on this topic. The first volume covers numerous topics such as deterministic control, HJB equation for the deterministic case, Pontryagin principle, finite horizon MDPs, ...             Introduction to Probability, 2nd Edition Dimitri P. Bertsekas, John N. Tsitsiklis Athena Scientific, 2008 An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by ...             Dynamic Programming and Optimal Control, Vol. II Dimitri P. Bertsekas Athena Scientific, 2007 A major revision of the second volume of 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 second volume is oriented towards mathematical analysis ...             Parallel and Distributed Computation: Numerical Methods (Optimization and Neural Computation) Dimitri P. Bertsekas Athena Scientific, 1997 Great Book Excellent book. I agree with much of the editorial review. I have found this book very useful for my work in distributed computation. The authors are thorough and exact in their work and rely heavily on matrix and probabilistic methods for their results. If you are ...             Introduction to Probability Dimitri P. Bertsekas Athena Scientific, 2002 The best book of elementary probability This is a must buy for people who would like to learn elementary probability. The only background you need is basic series and calculus. This is the best probability book I have seen.             Nonlinear Programming Dimitri P. Bertsekas Athena Scientific, 1999 Why do you need to pay attention to Bertsekas collection ? The study of optimization is not an easy task. Several books, different levels, some books only addressing theory, some books emphasizing algorithms and a few addressing modelling. When you read scientific papers, eventually you will convince yourself of the ...             Introduction to Probability: International Edition John N. Tsitsiklis Dimitri P. Bertsekas Athena Scientific, 2002 An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large ...             Dynamic Programming: Deterministic and Stochastic Models Dimitri P. Bertsekas Prentice Hall, 1987 it deals with some of my research topics too and excellent j The abriged version as available in India gives a brief insight on the coverage given by the author.I have done studies in the same field and would like to share my thoghts with the author who I would be obliged if his contact address be sent accross.Full review will ...             Linear Network Optimization: Algorithms and Codes Dimitri P. Bertsekas The MIT Press, 1991 Large-scale optimization is becoming increasingly important for students and professionals in electrical and industrial engineering, computer science, management science and operations research, and applied mathematics. Linear Network Optimization presents a thorough treatment of classical approaches to network problems such as shortest ...             Stochastic Optimal Control: The Discrete-Time Case (Optimization and Neural Computation Series) Dimitri P. Bertsekas; Steven E. Shreve, Steven E. Shreve Athena Scientific, 2007 This research monograph is the authoritative and comprehensive treatment of the mathematical foundations of stochastic optimal control of discrete-time systems, including the treatment of the intricate measure-theoretic issues.             Constrained Optimization and Lagrange Multiplier Methods (Optimization and Neural Computation Series) Dimitri P. Bertsekas Athena Scientific, 1996 Authoritative source This monograph (a republication of the 1982 original) is the authoritative and most widely referenced source for the research done in the "golden period" of Lagrange multiplier methods (late 60s to early 80s), during which the conceptual foundations of the subject were ...          products you might be interested in search for books deterministic, discrete-time, international, introduction, neuro-dynamic, optimization      geepe.com    web we recommend Challenging & Succesful Treatment of the Subject randomly chosen magazines: Witch Magazine - French ed