PDF Dynamic Programming and Optimal Control Vol. 1 (Optimization and Computation Series)
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Book Details :
Published on: 2000-11-15
Released on:
Original language: English
This is a substantially expanded (by about 30%) and improved edition of Vol. 1 of the best-selling dynamic programming book by Bertsekas. (A relatively minor revision of Vol.\ 2 is planned for the second half of 2001.) DP is a central algorithmic method for optimal control, sequential decision making under uncertainty, and combinatorial optimization. The treatment focuses on basic unifying themes and conceptual foundations. It illustrates the power of the method with many examples and applications from engineering, operations research, and economics. Among its special features, the book: (a) provides a unifying framework for sequential decision making (b) develops the theory of deterministic optimal control including the Pontryagin Minimum Principle (c) describes neuro-dynamic programming techniques for practical application of DP to complex problems that involve the dual curse of large dimension and lack of an accurate mathematical model (d) provides a comprehensive treatment of infinite horizon problems in the second volume, and an introductory treatment in the first volume (e) contains many exercises, with solutions of the most theoretical ones posted on the book's www page Highlights of the revision: (a) Much new material on suboptimal control, including neuro-dynamic programming and rollout algorithms, and their applications in combinatorial optimization and stochastic optimal control. (b) A section on estimation and control of systems with a non-probabilistic (set membership) description of uncertainty. (c) A section on infinite horizon continuous-time (semi-Markov) decision problems. (d) A new appendix dealing with the minimax and expected utility approaches for formulating decision problems under uncertainty. Journal of Computational and Applied Mathematics ... Journal of Computational and Applied Mathematics Volume 317 In Progress Volume / Issue In ProgressA Volume/Issue that is "In Progress" contains final fully citable ... Tuomas Sandholm 's home page - CMU Computer Science Tuomas Sandholm. Professor Carnegie Mellon University Computer Science Department 5000 Forbes Avenue Pittsburgh PA 15213. Director Electronic Marketplaces Laboratory Bert Kappen Radboud University Nijmegen the Netherlands The physics of inference and control. Keywords: Bayesian inference learning and reasoning stochastic control theory neural networks statistical physics Applied Mathematics and Computation - ScienceDirect.com Applied Mathematics and Computation Volume 301 In Progress Volume / Issue In ProgressA Volume/Issue that is "In Progress" contains final fully citable articles that ... Linear Optimization - home.ubalt.edu Linear Programming Linear programming is often a favorite topic for both professors and students. The ability to introduce LP using a graphical approach the relative ... Journal of Theoretical and Applied Information Technology ... Journal of Theoretical and Applied Information Technology is a peer-reviewed electronic research papers & review papers journal with aim of promoting and publishing ... Genetic Algorithms and Evolutionary Computation The first and most important point is that genetic algorithms are intrinsically parallel. Most other algorithms are serial and can only explore the solution space to ... Multi-objective optimization - Wikipedia Multi-objective optimization (also known as multi-objective programming vector optimization multicriteria optimization multiattribute optimization or Pareto ... Vitae - AIECON Address Top. Office: AI-ECON Research Center Department of Economics National Chengchi University Taipei Taiwan 11623 R.O.C. TEL: 886-2-29387308 FAX: 886-2 ... Mathematical optimization - Wikipedia In mathematics computer science and operations research mathematical optimization also spelled mathematical optimisation alternatively named mathematical ...
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