Posted by **step778** at June 3, 2016

1996 | pages: 411 | ISBN: 1886529043 | PDF | 11,8 mb

Posted by **Specialselection** at March 26, 2012

Dimitri P. Bertsekas, John N. Tsitsiklis, Dimitri P. Bertsekas, John N. Tsitsiklis

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

Posted by **tanas.olesya** at Dec. 14, 2015

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.

Posted by **nebulae** at Aug. 13, 2015

English | ISBN: 1886529450 | 2003 | 534 pages | PDF | 26 MB

Posted by **happy4all** at Aug. 3, 2015

2009 | 246 Pages | ISBN: 1886529310 | DJVU | 10 MB

Posted by **arundhati** at June 27, 2015

2015 | ISBN-10: 1886529280 | 576 pages | Djvu | 15 MB

Posted by **advisors** at Feb. 11, 2015

2008 | 528 Pages | ISBN: 188652923X | DJVU | 10 MB

Posted by **MoneyRich** at Dec. 23, 2014

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.

Posted by **MoneyRich** at Dec. 11, 2014

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.

Posted by **DZ123** at May 26, 2014

English | 1989 | ISBN: 0136487009 | PDF | pages: 737 | 54,9 mb