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Author: Heribert Vollmer
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 277
ISBN-13: 3662039273
DOWNLOAD EBOOKAn advanced textbook giving a broad, modern view of the computational complexity theory of boolean circuits, with extensive references, for theoretical computer scientists and mathematicians.
Author: Allan Heydon
Publisher:
Published: 1990
Total Pages: 55
ISBN-13:
DOWNLOAD EBOOKAuthor: Sanjeev Arora
Publisher: Cambridge University Press
Published: 2009-04-20
Total Pages: 609
ISBN-13: 0521424267
DOWNLOAD EBOOKNew and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Author: Allan Heydon
Publisher:
Published: 1990
Total Pages: 55
ISBN-13:
DOWNLOAD EBOOKThese ideas are the b̀uilding blocks' of the proof itself. A brief history of related result is given. Then, an intuitive description of the proof and a r̀oad map' of its structure (which has several levels and branches) are presented to provide an overall gist of what is going on behind the formal mathematics which follow. The heart of the proof is the so-called S̀witching Lemma', which is given considerable attention. The main result and a corollary are then stated and proven."
Author: Ingo Wegener
Publisher:
Published: 1987
Total Pages: 502
ISBN-13:
DOWNLOAD EBOOKAuthor: Howard Straubing
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 235
ISBN-13: 1461202892
DOWNLOAD EBOOKThe study of the connections between mathematical automata and for mal logic is as old as theoretical computer science itself. In the founding paper of the subject, published in 1936, Turing showed how to describe the behavior of a universal computing machine with a formula of first order predicate logic, and thereby concluded that there is no algorithm for deciding the validity of sentences in this logic. Research on the log ical aspects of the theory of finite-state automata, which is the subject of this book, began in the early 1960's with the work of J. Richard Biichi on monadic second-order logic. Biichi's investigations were extended in several directions. One of these, explored by McNaughton and Papert in their 1971 monograph Counter-free Automata, was the characterization of automata that admit first-order behavioral descriptions, in terms of the semigroup theoretic approach to automata that had recently been developed in the work of Krohn and Rhodes and of Schiitzenberger. In the more than twenty years that have passed since the appearance of McNaughton and Papert's book, the underlying semigroup theory has grown enor mously, permitting a considerable extension of their results. During the same period, however, fundamental investigations in the theory of finite automata by and large fell out of fashion in the theoretical com puter science community, which moved to other concerns.
Author: Amir Shpilka
Publisher: Now Publishers Inc
Published: 2010
Total Pages: 193
ISBN-13: 1601984006
DOWNLOAD EBOOKA large class of problems in symbolic computation can be expressed as the task of computing some polynomials; and arithmetic circuits form the most standard model for studying the complexity of such computations. This algebraic model of computation attracted a large amount of research in the last five decades, partially due to its simplicity and elegance. Being a more structured model than Boolean circuits, one could hope that the fundamental problems of theoretical computer science, such as separating P from NP, will be easier to solve for arithmetic circuits. However, in spite of the appearing simplicity and the vast amount of mathematical tools available, no major breakthrough has been seen. In fact, all the fundamental questions are still open for this model as well. Nevertheless, there has been a lot of progress in the area and beautiful results have been found, some in the last few years. As examples we mention the connection between polynomial identity testing and lower bounds of Kabanets and Impagliazzo, the lower bounds of Raz for multilinear formulas, and two new approaches for proving lower bounds: Geometric Complexity Theory and Elusive Functions. The goal of this monograph is to survey the field of arithmetic circuit complexity, focusing mainly on what we find to be the most interesting and accessible research directions. We aim to cover the main results and techniques, with an emphasis on works from the last two decades. In particular, we discuss the recent lower bounds for multilinear circuits and formulas, the advances in the question of deterministically checking polynomial identities, and the results regarding reconstruction of arithmetic circuits. We do, however, also cover part of the classical works on arithmetic circuits. In order to keep this monograph at a reasonable length, we do not give full proofs of most theorems, but rather try to convey the main ideas behind each proof and demonstrate it, where possible, by proving some special cases.
Author: Stasys Jukna
Publisher: Springer Science & Business Media
Published: 2012-01-06
Total Pages: 618
ISBN-13: 3642245080
DOWNLOAD EBOOKBoolean circuit complexity is the combinatorics of computer science and involves many intriguing problems that are easy to state and explain, even for the layman. This book is a comprehensive description of basic lower bound arguments, covering many of the gems of this “complexity Waterloo” that have been discovered over the past several decades, right up to results from the last year or two. Many open problems, marked as Research Problems, are mentioned along the way. The problems are mainly of combinatorial flavor but their solutions could have great consequences in circuit complexity and computer science. The book will be of interest to graduate students and researchers in the fields of computer science and discrete mathematics.
Author: Daniel Pierre Bovet
Publisher: Prentice Hall PTR
Published: 1994
Total Pages: 304
ISBN-13:
DOWNLOAD EBOOKUsing a balanced approach that is partly algorithmic and partly structuralist, this book systematically reviews the most significant results obtained in the study of computational complexity theory. Features over 120 worked examples, over 200 problems, and 400 figures.
