Algorithm Engineering - Bridging the Gap Between Algorithm Theory and Practice (Paperback, Edition.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Theoretical Computer Science and General Issues, 5971
Release date:	August 2010
First published:	2010
Editors:	Matthias Muller-Hannemann • Stefan Schirra
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Paperback
Pages:	513
Edition:	Edition.
ISBN-13:	978-3-642-14865-1
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Computer modelling & simulation
LSN:	3-642-14865-4
Barcode:	9783642148651

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