Lower Bounds On The Complexity Of Boolean Functions
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Author | : Stasys Jukna |
Publisher | : Springer Science & Business Media |
Total Pages | : 618 |
Release | : 2012-01-06 |
Genre | : Mathematics |
ISBN | : 3642245080 |
Boolean 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 | : Ingo Wegener |
Publisher | : |
Total Pages | : 502 |
Release | : 1987 |
Genre | : Algebra, Boolean |
ISBN | : |
Author | : Peter Clote |
Publisher | : Springer Science & Business Media |
Total Pages | : 456 |
Release | : 2013-03-13 |
Genre | : Computers |
ISBN | : 1461225663 |
Perspicuity is part of proof. If the process by means of which I get a result were not surveyable, I might indeed make a note that this number is what comes out - but what fact is this supposed to confirm for me? I don't know 'what is supposed to come out' . . . . 1 -L. Wittgenstein A feasible computation uses small resources on an abstract computa tion device, such as a 'lUring machine or boolean circuit. Feasible math ematics concerns the study of feasible computations, using combinatorics and logic, as well as the study of feasibly presented mathematical structures such as groups, algebras, and so on. This volume contains contributions to feasible mathematics in three areas: computational complexity theory, proof theory and algebra, with substantial overlap between different fields. In computational complexity theory, the polynomial time hierarchy is characterized without the introduction of runtime bounds by the closure of certain initial functions under safe composition, predicative recursion on notation, and unbounded minimization (S. Bellantoni); an alternative way of looking at NP problems is introduced which focuses on which pa rameters of the problem are the cause of its computational complexity and completeness, density and separation/collapse results are given for a struc ture theory for parametrized problems (R. Downey and M. Fellows); new characterizations of PTIME and LINEAR SPACE are given using predicative recurrence over all finite tiers of certain stratified free algebras (D.
Author | : Satyanarayana V. Lokam |
Publisher | : Now Publishers Inc |
Total Pages | : 177 |
Release | : 2009-07-20 |
Genre | : Computers |
ISBN | : 1601982429 |
We survey several techniques for proving lower bounds in Boolean, algebraic, and communication complexity based on certain linear algebraic approaches. The common theme among these approaches is to study robustness measures of matrix rank that capture the complexity in a given model. Suitably strong lower bounds on such robustness functions of explicit matrices lead to important consequences in the corresponding circuit or communication models. Many of the linear algebraic problems arising from these approaches are independently interesting mathematical challenges.
Author | : Paul E. Dunne |
Publisher | : |
Total Pages | : 526 |
Release | : 1988 |
Genre | : Mathematics |
ISBN | : |
Author | : Troy Lee |
Publisher | : Now Publishers Inc |
Total Pages | : 152 |
Release | : 2009 |
Genre | : Computers |
ISBN | : 1601982585 |
The communication complexity of a function f(x, y) measures the number of bits that two players, one who knows x and the other who knows y, must exchange to determine the value f(x, y). Communication complexity is a fundamental measure of complexity of functions. Lower bounds on this measure lead to lower bounds on many other measures of computational complexity. This monograph surveys lower bounds in the field of communication complexity. Our focus is on lower bounds that work by first representing the communication complexity measure in Euclidean space. That is to say, the first step in these lower bound techniques is to find a geometric complexity measure, such as rank or trace norm, that serves as a lower bound to the underlying communication complexity measure. Lower bounds on this geometric complexity measure are then found using algebraic and geometric tools.
Author | : Ryan O'Donnell |
Publisher | : Cambridge University Press |
Total Pages | : 445 |
Release | : 2014-06-05 |
Genre | : Computers |
ISBN | : 1107038324 |
This graduate-level text gives a thorough overview of the analysis of Boolean functions, beginning with the most basic definitions and proceeding to advanced topics.
Author | : Eyal Kushilevitz |
Publisher | : Cambridge University Press |
Total Pages | : 209 |
Release | : 2006-11-02 |
Genre | : Computers |
ISBN | : 052102983X |
Surveys the mathematical theory and applications such as computer networks, VLSI circuits, and data structures.
Author | : Samuel R. Buss |
Publisher | : |
Total Pages | : 238 |
Release | : 1986 |
Genre | : Mathematics |
ISBN | : |
Author | : Michael S. Paterson |
Publisher | : Cambridge University Press |
Total Pages | : 216 |
Release | : 1992-11-05 |
Genre | : Computers |
ISBN | : 0521408261 |
Here Professor Paterson brings together papers from the 1990 Durham symposium on Boolean function complexity. The participants include many well known figures in the field.