Bertsekas

Constrained Optimization and Lagrange Multiplier Methods  eBooks & eLearning

Posted by step778 at June 3, 2016
Constrained Optimization and Lagrange Multiplier Methods

Dimitri P. Bertsekas, Dimitri P Bertsekas, "Constrained Optimization and Lagrange Multiplier Methods"
1996 | pages: 411 | ISBN: 1886529043 | PDF | 11,8 mb

Neuro-Dynamic Programming  

Posted by Specialselection at March 26, 2012
Neuro-Dynamic Programming

"Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)"
Dimitri P. Bertsekas, John N. Tsitsiklis, Dimitri P. Bertsekas, John N. Tsitsiklis

English | 1996-05-01 | ISBN: 1886529108 | 504 pages | DJVU | 31.6 mb

Data Networks  

Posted by tanas.olesya at Dec. 14, 2015
Data Networks

Data Networks by Dimitri Bertsekas
English | 26 Dec. 1991 | ISBN: 0132009161 | 567 Pages | PDF | 32 MB

An exploration of data networks, evolving integrated networks, and the various analysis and design tools.

Convex Analysis and Optimization  

Posted by nebulae at Aug. 13, 2015
Convex Analysis and Optimization

Dimitri Bertsekas, Angelia Nedic, "Convex Analysis and Optimization"
English | ISBN: 1886529450 | 2003 | 534 pages | PDF | 26 MB

Convex Optimization Theory  

Posted by happy4all at Aug. 3, 2015
Convex Optimization Theory

Convex Optimization Theory By Dimitri P. Bertsekas
2009 | 246 Pages | ISBN: 1886529310 | DJVU | 10 MB

Convex Optimization Algorithms  

Posted by arundhati at June 27, 2015
Convex Optimization Algorithms

Dmitri P. Bertsekas, "Convex Optimization Algorithms"
2015 | ISBN-10: 1886529280 | 576 pages | Djvu | 15 MB

Introduction To Probability (2nd edition) (Repost)  

Posted by advisors at Feb. 11, 2015
Introduction To Probability (2nd edition) (Repost)

Introduction To Probability (2nd edition) By Dimitri P. Bertsekas, John N. Tsitsiklis
2008 | 528 Pages | ISBN: 188652923X | DJVU | 10 MB

Nonlinear Programming  

Posted by MoneyRich at Dec. 23, 2014
Nonlinear Programming

Nonlinear Programming by Dimitri P. Bertsekas
English | September 1, 1999 | ISBN: 1886529000 | 780 Pages | PDF | 24 MB

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 geometrical/convex analysis point of view 4) includes much new material on a number of topics, such as neural network training, discrete-time optimal control, and large-scale optimization 5) includes a large number of examples and exercises detailed solutions of many of which are posted on the internet Much supplementary/support material can be found at the book's web page.

Dynamic Programming & Optimal Control, Vol. I  

Posted by MoneyRich at Dec. 11, 2014
Dynamic Programming & Optimal Control, Vol. I

Dynamic Programming & Optimal Control, Vol. I by Dimitri P. Bertsekas
English | May 1, 2005 | ISBN: 1886529264 | 558 pages | DJVU | 23 MB

The first of the two volumes of the leading and most up-to-date 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 far-reaching methodology of Neuro-Dynamic Programming. 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. The text contains many illustrations, worked-out examples, and exercises.
Parallel and Distributed Computation: Numerical Methods (Repost)

Dimitri Bertsekas, John N. Tsitsiklis, "Parallel and Distributed Computation: Numerical Methods"
English | 1989 | ISBN: 0136487009 | PDF | pages: 737 | 54,9 mb