Posted by **ChrisRedfield** at June 14, 2014

Published: 2009-11-20 | ISBN: 1584888229 | PDF | 988 pages | 9 MB

Posted by **ChrisRedfield** at June 13, 2014

Published: 1998-11-23 | ISBN: 0849326494 | PDF + DJVU | 1312 pages | 22 MB

Posted by **fdts** at May 22, 2014

by Mikhail J. Atallah and Marina Blanton

English | 2009 | ISBN: 1584888202 | 950 pages | PDF | 7.11 MB

Posted by **interes** at Aug. 18, 2013

English | November 20, 2009 | ISBN-10: 1584888202 | 950 pages | PDF | 6,8 Mb

Algorithms and Theory of Computation Handbook, Second Edition: Special Topics and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems.

Posted by **AvaxGenius** at Aug. 16, 2017

English | PDF | 2017 | 116 Pages | ISBN : 3319646702 | 3.81 MB

This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics.

Posted by **thingska** at July 18, 2017

English | 2017 | ISBN: 3319559109, 9783319559100 | 698 Pages | PDF | 17.71 MB

Posted by **roxul** at May 6, 2017

English | ISBN: 331957860X | 2017 | 351 pages | PDF | 25 MB

Posted by **interes** at April 22, 2017

English | 2016 | ISBN: 0190232684 | 368 pages | PDF | 2,7 MB

Posted by **thingska** at April 8, 2017

English | 1996 | ISBN: 0313295115, 9780313295119 | 208 Pages | PDF | 632.50 KB

Posted by **Sangviniy** at March 23, 2017

English | Oct. 14, 1994 | ISBN: 0387943323 | 148 Pages | PDF | 2.26 MB

The aim of this textbook is to present an account of the theory of computation. After introducing the concept of a model of computation and presenting various examples, the author explores the limitations of effective computation via basic recursion theory. Self-reference and other methods are introduced as fundamental and basic tools for constructing and manipulating algorithms.