Posted by **Jeembo** at March 19, 2017

English | 2002 | ISBN: 0521813573 | 124 Pages | PDF | 1.1 MB

This text is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before using it to study a range of randomized algorithms with important applications in optimization and other problems in computing.

Posted by **interes** at March 16, 2017

English | 2010 | ISBN: 1598299174 | 92 pages | PDF | 1 MB

Posted by **step778** at Feb. 14, 2017

2004 | pages: 354 | ISBN: 038721948X | PDF | 2,2 mb

Posted by **hill0** at Feb. 8, 2017

English | 16 Feb. 2017 | ISBN: 3319434756 | 559 Pages | PDF | 5.31 MB

The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends first chapters give in considerable detail the background necessary to understand the rest of the book.

Posted by **step778** at Nov. 8, 2016

2002 | pages: 501 | ISBN: 1461379687 | PDF | 11,5 mb

Posted by **tanas.olesya** at Oct. 28, 2016

English | 2 Apr. 2009 | ISBN: 0521731828 | 624 Pages | PDF | 7 MB

The pursuit of more efficient simulation algorithms for complex Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains.

Posted by **step778** at Aug. 25, 2016

1993 | pages: 557 | ISBN: 1447132696 | DJVU | 5,5 mb

Posted by **step778** at April 12, 2016

1983 | pages: 232 | ISBN: 0387901922 | PDF | 54,4 mb

Posted by **ksveta6** at March 30, 2016

2013 | ISBN: 9814451509 | English | 354 pages | EPUB | 4 MB

Posted by **roxul** at Jan. 23, 2016

2010 | ISBN-10: 1420051113 | 492 pages | PDF | 5 MB