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Progress in Computer Science and Applied Logic

By: William I. Gasarch, G. Martin, W. Gasarch

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Hardcover | 23 December 1998

At a Glance

Hardcover
376 Pages

Dimensions(cm)
24.77 x 16.51 x 2.54

Hardcover

$169.75

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One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.

Industry Reviews

"Ideal for an advanced undergraduate or beginning graduate student who has some exposure to basic computability theory and wants to see what one can do with it. The questions asked are interesting and can be easily understood and the proofs can be followed without a large amount of training in computability theory."

--Sigact News

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You Can Find This Book In

Non-Fiction Mathematics Mathematical Foundation Mathematical Logic Applied Mathematics Combinatorics & Graph Theory Computing & I.T.Databases Data Capture & Analysis Calculus & Mathematical Analysis Functional Analysis & Transforms Computer Science

Mathematical Theory of Computation Maths for Computer Scientists Gardening Numerical Analysis

Preface
Getting Your Feet Wet	p. 1
Basic Concepts	p. 3
Bounded Queries and the Halting Set	p. 43
Definitions and Questions	p. 53
The Complexity of Functions	p. 75
The Complexity of C[subscript n][superscript A]	p. 77
#[subscript n][superscript A] and Other Functions	p. 143
The Complexity of Sets	p. 183
The Complexity of ODD[subscript n][superscript A] and MODm[subscript n][superscript A]	p. 185
Q Versus QC	p. 217
Separating and Collapsing Classes	p. 255
Miscellaneous	p. 271
Nondeterministic Complexity	p. 273
The Literature on Bounded Queries	p. 295
References	p. 325
Index	p. 331
Table of Contents provided by Blackwell. All Rights Reserved.

Progress in Computer Science and Applied Logic

At a Glance

Hardcover

Industry Reviews

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How to return your order

Defective items

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