Bounded Queries in Recursion Theory
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.
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Bounded Queries in Recursion Theory
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.
109.99 In Stock
Bounded Queries in Recursion Theory

Bounded Queries in Recursion Theory

Bounded Queries in Recursion Theory

Bounded Queries in Recursion Theory

Paperback(1999)

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Overview

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.

Product Details

ISBN-13: 9781461268482
Publisher: Birkh�user Boston
Publication date: 07/13/2013
Series: Progress in Computer Science and Applied Logic , #16
Edition description: 1999
Pages: 353
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

A: Getting Your Feet Wet.- 1 Basic Concepts.- 2 Bounded Queries and the Halting Set.- 3 Definitions and Questions.- B: The Complexity of Functions.- 4 The Complexity of CnA.- 5 #nA and Other Functions.- C: The Complexity of Sets.- 6 The Complexity of ODDnA and MODmnA.- 7 Q Versus QC.- 8 Separating and Collapsing Classes.- D: Miscellaneous.- 9 Nondeterministic Complexity.- 10 The Literature on Bounded Queries.- References.
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