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Titlebook: Algorithm Engineering; Bridging the Gap Bet Matthias Müller-Hannemann,Stefan Schirra Textbook 2010 Springer-Verlag Berlin Heidelberg 2010 a

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Textbook 2010s 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 appli
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https://doi.org/10.1007/978-94-007-4384-7mputation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation models that capture the running time of algorithms involving large data sets on modern computers better than the traditional RAM (and its parallel counterpart PRAM) model.
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https://doi.org/10.1007/978-3-540-77084-8in software engineering. Also, being a loose collection is not enough. The parts of the library should seamlessly work together and complement each other in a reasonable way, addressing related tasks. “Using a program element” is not necessarily limited to calling a function or a method, it includes executing a whole program, for example.
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Chapter 5. Realistic Computer Models,mputation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation models that capture the running time of algorithms involving large data sets on modern computers better than the traditional RAM (and its parallel counterpart PRAM) model.
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Chapter 7. Libraries,in software engineering. Also, being a loose collection is not enough. The parts of the library should seamlessly work together and complement each other in a reasonable way, addressing related tasks. “Using a program element” is not necessarily limited to calling a function or a method, it includes executing a whole program, for example.
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Demographic Change and Economic Developmentately, over the last decades there has been a growing gap between algorithm theory on one side and practical needs on the other. As a consequence, only a small fraction of the research done in Algorithmics is actually used. To understand the reasons for this gap, let us briefly explain how research in Algorithmics has been done traditionally.
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