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ONLINE COMPUTATION AND COMPETITIVE ANALYSIS, ALLAN BORODIN, HARDCOVER, 1998,
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Ubicado en: Lincoln, Nebraska, Estados Unidos
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N.º de artículo de eBay:256788585471
Características del artículo
- Estado
- En muy buen estado
- Notas del vendedor
- ISBN
- 9780521563925
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Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521563925
ISBN-13
9780521563925
eBay Product ID (ePID)
274072
Product Key Features
Number of Pages
432 Pages
Publication Name
Online Computation and Competitive Analysis
Language
English
Publication Year
1998
Subject
Machine Theory, Programming / Algorithms, General, Optimization
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
33.2 Oz
Item Length
10.3 in
Item Width
7.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
97-038652
Dewey Edition
0
Illustrated
Yes
Dewey Decimal
005.1
Table Of Content
Preface; 1. Introduction to competitive analysis: the list accessing problem; 2. Introduction to randomized algorithms: the list accessing problem; 3. Paging: deterministic algorithms; 4. Paging: randomized algorithms; 5. Alternative models for paging: beyond pure competitive analysis; 6. Game theoretic foundations; 7. Request - answer games; 8. Competitive analysis and zero-sum games; 9. Metrical task systems; 10. The k-server problem; 11. Randomized k-server algorithms; 12. Load-balancing; 13. Call admission and circuit-routing; 14. Search, trading and portfolio selection; 15. Competitive analysis and decision making under uncertainty; Appendices; Bibliography; Index.
Synopsis
In online computation a computer algorithm must decide how to act on incoming items of information without any knowledge of future inputs. How should it route the next telephone call? Where in memory should it store a just-closed record? This book provides an in-depth presentation of competitive analysis, an attractive framework within which such problems can be analyzed and solved. In this framework, the quality of an algorithm is measured relative to the best possible performance of an algorithm that has complete knowledge of the future. This methodology for the analysis of online decision making has become a standard approach in computer science. Starting with the basic definitions of the competitive analysis model, the authors present most of the essential techniques through various examples, some of which are among the central problems of the field, such as list accessing, paging in a virtual memory system, routing in a communication network, metrical task systems, k-server systems, load balancing, search, and portfolio selection. The book also shows how competitive analysis relates to more classical subjects such as game theory and decision theory. This is an important text and reference for researchers and graduate students in theoretical computer science and in operations research., This graduate text and reference provides an in-depth presentation of competitive analysis, a framework for measuring the performance of online algorithms. The authors present the essential techniques through various examples and applications such as list accessing, paging in a virtual memory system, routing in a communication network, metrical task systems, k-server systems, load balancing, search, and portfolio selection.
LC Classification Number
QA76.9.A43 B67 1998
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