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Author: D. J. A. Welsh
Publisher: Cambridge University Press
Published: 1993-08-12
Total Pages: 176
ISBN-13: 9780521457408
DOWNLOAD EBOOKThese notes are based on a series of lectures given at the Advanced Research Institute of Discrete Applied Mathematics, Rutgers University.
Author: Jin-Yi Cai
Publisher: Cambridge University Press
Published: 2017-11-16
Total Pages: 473
ISBN-13: 1108508820
DOWNLOAD EBOOKComplexity 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.
Author: Sanjeev Arora
Publisher: Cambridge University Press
Published: 2009-04-20
Total Pages: 519
ISBN-13: 1139477366
DOWNLOAD EBOOKThis beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set. The book starts with a broad introduction to the field and progresses to advanced results. Contents include: definition of Turing machines and basic time and space complexity classes, probabilistic algorithms, interactive proofs, cryptography, quantum computation, lower bounds for concrete computational models (decision trees, communication complexity, constant depth, algebraic and monotone circuits, proof complexity), average-case complexity and hardness amplification, derandomization and pseudorandom constructions, and the PCP theorem.
Author: Rod Downey
Publisher: Walter de Gruyter
Published: 2011-05-02
Total Pages: 181
ISBN-13: 311088917X
DOWNLOAD EBOOKThe book contains 8 detailed expositions of the lectures given at the Kaikoura 2000 Workshop on Computability, Complexity, and Computational Algebra. Topics covered include basic models and questions of complexity theory, the Blum-Shub-Smale model of computation, probability theory applied to algorithmics (randomized alogrithms), parametric complexity, Kolmogorov complexity of finite strings, computational group theory, counting problems, and canonical models of ZFC providing a solution to continuum hypothesis. The text addresses students in computer science or mathematics, and professionals in these areas who seek a complete, but gentle introduction to a wide range of techniques, concepts, and research horizons in the area of computational complexity in a broad sense.
Author: Akio Kawauchi
Publisher: Birkhäuser
Published: 2012-12-06
Total Pages: 431
ISBN-13: 3034892276
DOWNLOAD EBOOKKnot theory is a rapidly developing field of research with many applications, not only for mathematics. The present volume, written by a well-known specialist, gives a complete survey of this theory from its very beginnings to today's most recent research results. An indispensable book for everyone concerned with knot theory.
Author: Jörg Rothe
Publisher: Springer Science & Business Media
Published: 2005-11-10
Total Pages: 488
ISBN-13: 3540285202
DOWNLOAD EBOOKModern cryptology increasingly employs mathematically rigorous concepts and methods from complexity theory. Conversely, current research topics in complexity theory are often motivated by questions and problems from cryptology. This book takes account of this situation, and therefore its subject is what may be dubbed "cryptocomplexity'', a kind of symbiosis of these two areas. This book is written for undergraduate and graduate students of computer science, mathematics, and engineering, and can be used for courses on complexity theory and cryptology, preferably by stressing their interrelation. Moreover, it may serve as a valuable source for researchers, teachers, and practitioners working in these fields. Starting from scratch, it works its way to the frontiers of current research in these fields and provides a detailed overview of their history and their current research topics and challenges.
Author: Dominic Welsh
Publisher: Cambridge University Press
Published: 1993-08-12
Total Pages: 0
ISBN-13: 9780521457408
DOWNLOAD EBOOKThe aim of these notes is to link algorithmic problems arising in knot theory with statistical physics and classical combinatorics. Apart from the theory of computational complexity needed to deal with enumeration problems, introductions are given to several of the topics, such as combinatorial knot theory, randomized approximation models, percolation, and random cluster models.
Author: Béla Bollobás
Publisher: Cambridge University Press
Published: 1997-05-22
Total Pages: 588
ISBN-13: 9780521584722
DOWNLOAD EBOOKA panorama of combinatorics by the world's experts.
Author: Frank Olaf Wagner
Publisher: Cambridge University Press
Published: 1997-08-21
Total Pages: 326
ISBN-13: 9780521598392
DOWNLOAD EBOOKIn this book the general theory of stable groups is developed from the beginning.
Author: Mark Pollicott
Publisher: Cambridge University Press
Published: 1996-03-28
Total Pages: 496
ISBN-13: 0521576881
DOWNLOAD EBOOKA mixture of surveys and original articles that span the theory of Zd actions.
