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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice Matthias Müller-Hannemann Editor
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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice Matthias Müller-Hannemann Editor - neues Buch

2006, ISBN: 9783642148651

Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an e… Mehr…

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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice - neues Buch

2006, ISBN: 9783642148651

New. Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, an… Mehr…

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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971)
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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971) - Taschenbuch

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ISBN: 9783642148651

Series Editor: Schirra, Stefan, Springer, Taschenbuch, Auflage: 2010, 532 Seiten, Publiziert: 2010-10-08T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: Illustrations, 1.63 kg, Verkaufsra… Mehr…

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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971)
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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971) - Taschenbuch

2010, ISBN: 9783642148651

Series Editor: Schirra, Stefan, Springer, Taschenbuch, Auflage: 2010, 532 Seiten, Publiziert: 2010-10-08T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: Illustrations, 1.63 kg, Verkaufsra… Mehr…

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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971)
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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971) - Taschenbuch

2010, ISBN: 9783642148651

Series Editor: Schirra, Stefan, Springer, Taschenbuch, Auflage: 2010, 532 Seiten, Publiziert: 2010-10-08T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: Illustrations, 1.63 kg, Verkaufsra… Mehr…

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Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971)

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.

Detailangaben zum Buch - Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice (Lecture Notes in Computer Science / Theoretical Computer Science and ... Notes in Computer Science, 5971, Band 5971)


EAN (ISBN-13): 9783642148651
ISBN (ISBN-10): 3642148654
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Muller-Hannemann, Matthias, Springer
513 Seiten
Gewicht: 0,798 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2009-11-27T07:39:29+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-12-18T12:32:57+01:00 (Berlin)
ISBN/EAN: 9783642148651

ISBN - alternative Schreibweisen:
3-642-14865-4, 978-3-642-14865-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hannemann, matthias müller, ller, mãœller, schirra, stefan müller, hanneman, springer, held
Titel des Buches: bridging the gap, theoretical practice, lecture notes computer science, matthias


Daten vom Verlag:

Autor/in: Matthias Müller-Hannemann; Stefan Schirra
Titel: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Algorithm Engineering - Bridging the Gap Between Algorithm Theory and Practice
Verlag: Springer; Springer Berlin
513 Seiten
Erscheinungsjahr: 2010-08-05
Berlin; Heidelberg; DE
Sprache: Englisch
90,94 € (DE)
93,49 € (AT)
100,50 CHF (CH)
Available
XVI, 513 p. 72 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; Informatik; ad-hoc networks; algebraic modeling languages; algorithm design; algorithmics; algorithms; binary optimization; calculus; case studies; computational geometry; computational testing; constraint programming; correctness; design; distributed syst; modeling; algorithm analysis and problem complexity; data structures; Programming Techniques; Algorithms; Formal Languages and Automata Theory; Software Engineering; Computer Modelling; Data Science; Algorithmen und Datenstrukturen; Theoretische Informatik; Software Engineering; Computermodellierung und -simulation; Datenbanken; EA

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.
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