Complexity Dichotomies For Counting Problems

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Complexity Dichotomies For Counting Problems

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Author : Jin-Yi Cai
language : en
Publisher: Cambridge University Press
Release Date : 2017-11-16

Complexity Dichotomies For Counting Problems written by Jin-Yi Cai and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-16 with Computers categories.

Volume 1. Boolean domain

Complexity Dichotomies For Counting Problems

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Author : Jin-yi Cai
language : en
Publisher:
Release Date : 2017

Complexity Dichotomies For Counting Problems written by Jin-yi Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with MATHEMATICS categories.

Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics.

Complexity Dichotomies For Counting Problems

DOWNLOAD
Author : Jin-yi Cai
language : en
Publisher:
Release Date : 2017

Complexity Dichotomies For Counting Problems written by Jin-yi Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Algebra, Boolean categories.

Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics

Complexity Dichotomies For Counting Problems

DOWNLOAD
Author : Jin-Yi Cai
language : en
Publisher:
Release Date : 2017

Complexity Dichotomies For Counting Problems written by Jin-Yi Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Algebra, Boolean categories.

A sweeping classification theory for computational counting problems using new techniques and theories.

Fifth International Congress Of Chinese Mathematicians

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Author : Lizhen Ji
language : en
Publisher: American Mathematical Soc.
Release Date : 2012

Fifth International Congress Of Chinese Mathematicians written by Lizhen Ji and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.

This two-part volume represents the proceedings of the Fifth International Congress of Chinese Mathematicians, held at Tsinghua University, Beijing, in December 2010. The Congress brought together eminent Chinese and overseas mathematicians to discuss the latest developments in pure and applied mathematics. Included are 60 papers based on lectures given at the conference.

Computing And Combinatorics

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Author : Weili Wu
language : en
Publisher: Springer Nature
Release Date : 2023-12-08

Computing And Combinatorics written by Weili Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.

This two volume set LNCS 14422-14423 constitutes the refereed proceedings of the 29th International Conference, COCOON 2023, held in Hawaii, HI, USA, during December 2023. The 60 full papers were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: Part I : Combinatorics and Algorithms; Algorithmic Solution in Applications; and Algorithm in Networks. Part II: Complexity and Approximation; Graph Algorithms; and Applied Algorithms.

Computer Science Theory And Applications

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Author : Rahul Santhanam
language : en
Publisher: Springer Nature
Release Date : 2021-06-16

Computer Science Theory And Applications written by Rahul Santhanam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-16 with Computers categories.

This book constitutes the proceedings of the 16th International Computer Science Symposium in Russia, CSR 2021, held in Sochi, Russia, in June/July 2021. The 28 full papers were carefully reviewed and selected from 68 submissions. The papers cover a broad range of topics, such as formal languages and automata theory, geometry and discrete structures; theory and algorithms for application domains and much more.

Fundamentals Of Computation Theory

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Author : Evripidis Bampis
language : en
Publisher: Springer Nature
Release Date : 2021-09-11

Fundamentals Of Computation Theory written by Evripidis Bampis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-11 with Computers categories.

This book constitutes the proceedings of the 23rd International Symposium on Fundamentals of Computation Theory, FCT 2021, held in Athens, Greece, in September 2021. The 30 full papers included in this volume were carefully reviewed and selected from 94 submissions. In addition, the book contains 2 invited talks. The papers cover topics of all aspects of theoretical computer science, in particular algorithms, complexity, formal and logical methods.

Intelligent Computing

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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2024-06-14

Intelligent Computing written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Computers categories.

Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.

Learning And Intelligent Optimization

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Author : Dimitris E. Simos
language : en
Publisher: Springer Nature
Release Date : 2021-12-08

Learning And Intelligent Optimization written by Dimitris E. Simos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-08 with Mathematics categories.

This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.