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

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

Authors:Dimitri P. Bertsekas, Dimitri P. Bertsekas,
Publisher: Athena Scientific
Keywords: programming, nonlinear
Number of Pages: 802
Published: 1999-09-01
List price: $89.00
ISBN-10: 1886529000
ISBN-13: 9781886529007

This extensive rigorous texbook, developed through instruction at MIT, focuses on nonlinear and other types of optimization: iterative algorithms for constrained and unconstrained optimization, Lagrange multipliers and duality, large scale problems, and the interface between continuous and discrete optimization. Among its special features, the book: 1) provides extensive coverage of iterative optimization methods within a unifying framework 2) provides a detailed treatment of interior point methods for linear programming 3) covers in depth duality theory from both a variational and a geom

Authors:Dimitri P. Bertsekas, Gallager,
Publisher: Prentice Hall
Keywords: networks, data
Number of Pages: 592
Published: 1992-01-05
List price: $160.00
ISBN-10: 0132009161
ISBN-13: 9780132009164

Based on an extremely popular short course conducted by the authors for several Fortune 500 companies, this volume is designed to help professionals develop a deeper understanding of data networks and evolving integrated networks, and to explore today’s various analysis and design tools. KEY TOPICS: It begins with an overview of the principles behind data networks, then develops an understanding of the modeling issues and mathematical analysis needed to compare the effectiveness of different networks. An ideal reference for Communication, Network, and Research and Development Engineers.

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: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