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Complexity Theory: Exploring the Limits of Efficient Algorithms

Ingo Wegener

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Programming Techniques; Algorithm Analysis and Problem Complexity; Coding and Information Theory; Logics and Meanings of Programs; Mathematical Logic and Formal Languages; Algorithms

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-21045-0

ISBN electrónico

978-3-540-27477-3

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2005

Tabla de contenidos

Introduction

Palabras clave: Complexity Theory; Binary Decision Diagram; Algorithmic Problem; Theoretical Computer Science; Travel Salesperson Problem.

Pp. 1-10

Algorithmic Problems & Their Complexity

Palabras clave: Short Path; Turing Machine; Computation Step; Input Format; Algorithmic Problem.

Pp. 11-24

Fundamental Complexity Classes

Palabras clave: Decision Problem; Turing Machine; Correct Result; Complexity Class; Computation Path.

Pp. 25-41

Reductions — Algorithmic Relationships Between Problems

Pp. 43-61

The Theory of NP-Completeness

Palabras clave: Polynomial Time; Decision Problem; Turing Machine; Conjunctive Normal Form; Deterministic Algorithm.

Pp. 63-75

NP-complete and NP-equivalent Problems

Pp. 77-87

The Complexity Analysis of Problems

Pp. 89-97

The Complexity of Approximation Problems — Classical Results

Palabras clave: Polynomial Time; Approximation Problem; Maximization Problem; Approximation Ratio; Knapsack Problem.

Pp. 99-114

The Complexity of Black Box Problems

Palabras clave: Function Class; Search Heuristic; Deterministic Algorithm; Search Point; Unimodal Function.

Pp. 115-125

Additional Complexity Classes and Relationships Between Complexity Classes

Pp. 127-144