| 期刊全称 | Algorithm Engineering | | 期刊简称 | Bridging the Gap Bet | | 影响因子2023 | Matthias Müller-Hannemann,Stefan Schirra | | 视频video | | | 发行地址 | High quality selected papers.Unique visibility.State of the art research | | 学科分类 | Lecture Notes in Computer Science | | 图书封面 |  | | 影响因子 | 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 arising 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 andalgorithmic 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 | | Pindex | Textbook 2010 |
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发表于 2025-3-21 19:25:55
