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Computational Complexity of Counting and Sampling
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kr 166
Computational Complexity of Counting and Sampling

Computational Complexity of Counting and Sampling provides readers with comprehensive and detailed coverage of the subject of computational complexity. It is primarily geared toward researchers in enumerative combinatorics, discrete mathematics, and theoretical computer science.

The book covers the following topics: Counting and sampling problems that are solvable in polynomial running time, including holographic algorithms; #P-complete counting problems; and approximation algorithms for counting and sampling.

First, it opens with the basics, such as the theoretical computer science background and dynamic programming algorithms. Later, the book expands its scope to focus on advanced topics, like stochastic approximations of counting discrete mathematical objects and holographic algorithms. After finishing the book, readers will agree that the subject is well covered, as the book starts with the basics and gradually explores the more complex aspects of the topic.

Features:

  • Each chapter includes exercises and solutions
  • Ideally written for researchers and scientists
  • Covers all aspects of the topic, beginning with a solid introduction, before shifting to computational complexity’s more advanced features, with a focus on counting and sampling

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Computational Complexity of Counting and Sampling provides readers with comprehensive and detailed coverage of the subject of computational complexity. It is primarily geared toward researchers in enumerative combinatorics, discrete mathematics, and theoretical computer science.

The book covers the following topics: Counting and sampling problems that are solvable in polynomial running time, including holographic algorithms; #P-complete counting problems; and approximation algorithms for counting and sampling.

First, it opens with the basics, such as the theoretical computer science background and dynamic programming algorithms. Later, the book expands its scope to focus on advanced topics, like stochastic approximations of counting discrete mathematical objects and holographic algorithms. After finishing the book, readers will agree that the subject is well covered, as the book starts with the basics and gradually explores the more complex aspects of the topic.

Features:

  • Each chapter includes exercises and solutions
  • Ideally written for researchers and scientists
  • Covers all aspects of the topic, beginning with a solid introduction, before shifting to computational complexity’s more advanced features, with a focus on counting and sampling

Produktdetaljer
Sprog: Engelsk
Sider: 408
ISBN-13: 9781138035577
Indbinding: Paperback
Udgave:
ISBN-10: 1138035572
Udg. Dato: 20 feb 2019
Længde: 23mm
Bredde: 158mm
Højde: 233mm
Oplagsdato: 20 feb 2019
Forfatter(e) Istvan (Renyi Institute Miklos, Istvan Miklos


Kategori Kombinatorik og grafteori


Sprog Engelsk


Indbinding Paperback


Sider 408


Udgave


Længde 23mm


Bredde 158mm


Højde 233mm

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