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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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Housing Asset Strategies for Old Age,for the development of new ideas that help to improve existing algorithms. An algorithm that solves a problem optimally while the time and space it consumes grow not too fast is the ideal case. Unfortunately, such algorithms are not known to exist for many optimization problems that occur frequently
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https://doi.org/10.1007/978-94-007-4384-7of one computer or distributed and processed over many parallel computing devices or both. In fact, in many such applications, choosing a realistic computation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation model
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https://doi.org/10.1007/978-3-540-77084-8 applied whenever possible. The interested reader is referred to the multitude of textbooks in this field, for example [748, 568]. In this chapter, we focus only on selected issues which are particularly relevant to achieve the goals of Algorithm Engineering.
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https://doi.org/10.1007/978-3-540-77084-8cal methods of algorithm research. Instead of just analyzing the theoretical properties, experiments allow for estimating the practical performance of algorithms in more realistic settings. In other fields related to Computer Science, like for instance Mathematical Programming or Operations Research
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Demographic Change and Economic Growthl understood, i. e., that the desired input-output relation is specified, and an agreement has been reached as to what makes a solution to the problem a good solution. These questions must be settled in cooperation with representatives from fields of application.
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https://doi.org/10.1007/978-3-642-14866-8ad-hoc networks; algebraic modeling languages; algorithm design; algorithmics; algorithms; binary optimiz
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978-3-642-14865-1Springer-Verlag Berlin Heidelberg 2010
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