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000257352 1001_ $$aApke, Alexander$$b0
000257352 245__ $$aAlgorithm Design
000257352 250__ $$a1st ed. 2022
000257352 260__ $$aCham$$bSpringer International Publishing$$c2022
000257352 29510 $$a[Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,
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000257352 4900_ $$aStudies in Big Data$$v112
000257352 520__ $$aIn this chapter, we have a closer look at algorithms and the challenges that lie in designing “good” algorithms. We show how a real world problem can be modeled in a way that an algorithm can understand and solve it. Further, we introduce the Big O Notation as a concept for quantifying the efficiency of algorithms. We will know the difference between the complexity classes P and NP and discover some very important basic paradigms in designing efficient algorithms.
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000257352 650_0 $$aEngineering—Data processing
000257352 650_0 $$aBioinformatics
000257352 650_0 $$aBig data
000257352 650_0 $$aComputational intelligence
000257352 7001_ $$aWeil, Vera$$b1
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000257352 7001_ $$0P:(DE-2719)9002247$$aSchaaf, Sebastian$$b3$$eLast author$$udzne
000257352 773__ $$a10.1007/978-3-031-08411-9_4
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000257352 9141_ $$y2022
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