Computational complexity of counting and sampling / István Miklós.

"The purpose of the book is to give a comprehensive and detailed introduction to the computational complexity of counting and sampling. The book will consist of three main topics: I. Counting problems that are solvable in polynomial running time, II. Approximation algorithms for counting and samplin...

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Bibliographic Details
Uniform Title:Discrete mathematics and its applications.
Main Author: Miklós, István (Mathematician) (Author)
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, [2019]
Series:Discrete mathematics and its applications.
Subjects:
Physical Description:xvii, 390 pages ; 23 cm.
Format: Book

MARC

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300 |a xvii, 390 pages ;  |c 23 cm. 
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504 |a Includes bibliographical references and index. 
505 0 |a Background on computational complexity -- Algebraic dynamic programming and monotone computations -- Linear algebraic algorithms. The power of subtracting -- #P-complete counting problems -- Holographic algorithms -- Methods of random generations -- Mixing of Markov chains and their applications in the theory of counting and sampling -- Approximable counting and sampling problems. 
520 |a "The purpose of the book is to give a comprehensive and detailed introduction to the computational complexity of counting and sampling. The book will consist of three main topics: I. Counting problems that are solvable in polynomial running time, II. Approximation algorithms for counting and sampling, III. Holographic algorithms"--  |c Provided by publisher. 
650 0 |a Computational complexity.  |0 http://id.loc.gov/authorities/subjects/sh85029473 
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