Computational Complexity of Counting and Sampling - Couverture rigide

Livre 51 sur 67: Discrete Mathematics and Its Applications

Miklos, Istvan

 
9781138070837: Computational Complexity of Counting and Sampling

Synopsis

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

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À propos de l?auteur

István Miklós is a Hungarian mathematician and bioinformatician at the Rényi Institute in Budapest. He holds a Ph.D. from Eotvos University in Budapest. His research interests lie in theoretical and applied computer science and combinatorics, particularly in the study of Markov chain, Monte Carlo methods and in sampling and counting combinatorial objects appearing in applied mathematics. He has more than 50 peer-reviewed scientific papers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781138035577: Computational Complexity of Counting and Sampling

Edition présentée

ISBN 10 :  1138035572 ISBN 13 :  9781138035577
Editeur : Routledge, 2019
Couverture souple