Buch, Englisch, 513 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 807 g
Bridging the Gap Between Algorithm Theory and Practice
Buch, Englisch, 513 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 807 g
Reihe: Theoretical Computer Science and General Issues
ISBN: 978-3-642-14865-1
Verlag: Springer
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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.
