Authors:Dimitri P. Bertsekas, Dimitri P. Bertsekas,
Publisher: Athena Scientific
Keywords: optimization, computation, control, models, discrete, continuous, network
Number of Pages: 593
Published: 1998-05
List price: $89.00
ISBN-10: 1886529027
ISBN-13: 9781886529021

An insightful, comprehensive, and up-to-date treatment of linear, nonlinear, and discrete/combinatorial network optimization problems, their applications, and their analytical and algorithmic methodology. It covers extensively theory, algorithms, and applications, and it aims to bridge the gap between linear and nonlinear network optimization on one hand, and integer/combinatorial network optimization on the other. Among its special features, the book: 1) provides a comprehensive account of the principal algorithms for linear network flow problems, including simplex, dual ascent, and a

Author: Dimitri P. Bertsekas
Publisher: Athena Scientific
Keywords: control, optimal, programming, dynamic
Number of Pages: 2
Published: 1995-01
List price: unknow
ISBN-10: 1886529124
ISBN-13: 9781886529120

Authors:Dimitri P. Bertsekas, John N. Tsitsikli,
Publisher: Athena Scientific
Keywords: probability, introduction
Number of Pages: 544
Published: 2008-07-15
List price: unknow
ISBN-10: 188652923X
ISBN-13: 9781886529236

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models in science, engineering, and related fields. This second edition includes a thorough introduction to Bayesian and classical statistics. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple rand

Authors:Dimitris Bertsimas, John N. Tsitsikli,
Publisher: Athena Scientific
Keywords: optimization, neural, computation, series, athena, linear, introduction, scientific
Number of Pages: 608
Published: 1997-02-01
List price: $89.00
ISBN-10: 1886529191
ISBN-13: 9781886529199

This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as well as the state of the art, in both theory and practice.

Authors:Dimitri P. Bertsekas, John N. Tsitsikli,
Publisher: Athena Scientific
Keywords: computation, series, neural, optimization, dynamic, programming, neuro
Number of Pages: 491
Published: 1996-05-01
List price: unknow
ISBN-10: 1886529108
ISBN-13: 9781886529106

This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and dynamic programming to complex problems of planning, optimal decision making, and intelligent control. Neuro-dynamic programming uses neural network approximations to overcome the "curse of dimensionality" and the "curse of modeling" that have been the bottlenecks to the practical application of dynamic programming and stochastic control to complex problems. The methodology allows systems to learn abo

Author: Dimitri P. Bertseka
Publisher: Athena Scientific
Keywords: vol, control, optimal, programming, dynamic
Number of Pages: 1022
Published: 2007-01-29
List price: $134.50
ISBN-10: 1886529086
ISBN-13: 9781886529083

A two-volume set, consisting of the latest editions of the two volumes (2005 for Vol. I, 2007 for Vol. II). Much supplementary material can be found at the book’s web page http://www.athenasc.com/dpbook.html 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. The second volume is oriented towards mathematical analysis and computation, and treats infinite horizon problems extensively. This is a textbook on the far-ranging algorithmic meth

Author: Dimitri P. Bertsekas
Publisher: Athena Scientific
Keywords: computation, optimization, neural, methods, numerical, distributed, parallel
Number of Pages: 718
Published: 1997-01-01
List price: $49.50
ISBN-10: 1886529019
ISBN-13: 9781886529014

This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. Among its special fe