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Algorithm Engineering [[electronic resource] ] : Bridging the Gap Between Algorithm Theory and Practice / / edited by Matthias Müller-Hannemann, Stefan Schirra



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Titolo: Algorithm Engineering [[electronic resource] ] : Bridging the Gap Between Algorithm Theory and Practice / / edited by Matthias Müller-Hannemann, Stefan Schirra Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Edizione: 1st ed. 2010.
Descrizione fisica: 1 online resource (XVI, 513 p. 72 illus.)
Disciplina: 004.01/5181
Soggetto topico: Computer programming
Algorithms
Machine theory
Software engineering
Computer simulation
Artificial intelligence—Data processing
Programming Techniques
Formal Languages and Automata Theory
Software Engineering
Computer Modelling
Data Science
Persona (resp. second.): Müller-HannemannMatthias
SchirraStefan
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references (p. [454]-496) and index.
Nota di contenuto: 1. Foundations of Algorithm Engineering -- 2. Modeling -- 3. Selected Design Issues -- 4. Analysis of Algorithms -- 5. Realistic Computer Models -- 6. Implementation Aspects -- 7. Libraries -- 8. Experiments -- 9. Case Studies -- 10. Challenges in Algorithm Engineering.
Sommario/riassunto: Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an ever increasing demand for efficient solution to actual real world problems have led to a rising gap between classical algorithm theory and algorithmics in practice. The emerging discipline of Algorithm Engineering aims at bridging this gap. Driven by concrete applications, Algorithm Engineering complements theory by the benefits of experimentation and puts equal emphasis on all aspects arising during a cyclic solution process ranging from realistic modeling, design, analysis, robust and efficient implementations to careful experiments. This tutorial - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in September 2006 - covers the essential aspects of this process in ten chapters on basic ideas, modeling and design issues, analysis of algorithms, realistic computer models, implementation aspects and algorithmic software libraries, selected case studies, as well as challenges in Algorithm Engineering. Both researchers and practitioners in the field will find it useful as a state-of-the-art survey.
Titolo autorizzato: Algorithm engineering  Visualizza cluster
ISBN: 3-642-14866-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466205703316
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 5971