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.
Product Identifiers
Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783642148651
eBay Product ID (ePID)
107631648
Product Key Features
Author
Matthias Muller-Hannemann, Stefan Schirra
Publication Name
Algorithm Engineering: Bridging the Gap between Algorithm Theory and Practice
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2010
Type
Textbook
Number of Pages
513 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
5971
Item Weight
807g
Additional Product Features
Series Title
Theoretical Computer Science and General Issues
Editor
Matthias Muller-Hannemann, Stefan Schirra
Country/Region of Manufacture
Germany
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