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000257346 082__ $$a620.00285
000257346 1001_ $$0P:(DE-2719)2810719$$aDörpinghaus, Jens$$b0$$eFirst author$$udzne
000257346 245__ $$aOptimization
000257346 250__ $$a1st ed. 2022
000257346 260__ $$aCham$$bSpringer International Publishing$$c2022
000257346 29510 $$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,
000257346 300__ $$a361-396
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000257346 4900_ $$aStudies in Big Data$$v112
000257346 520__ $$aIn Life Sciences as well as in may other fields, we are often encountering mathematical problems that we have to solve. In this chapter, we dive into linear and combinatorial optimization problems. Accompanied by some illustrative problems arising from various applications in Life Sciences, we learn how to model these problems in a mathematical way. We will further discuss general approaches in tackling these problems, discover some widely known solving algorithms and have a closer look at their exemplary implementations in Java.
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000257346 650_0 $$aEngineering—Data processing
000257346 650_0 $$aBioinformatics
000257346 650_0 $$aBig data
000257346 650_0 $$aComputational intelligence
000257346 7001_ $$aWeil, Vera$$b1
000257346 7001_ $$0P:(DE-2719)9002247$$aSchaaf, Sebastian$$b2$$udzne
000257346 7001_ $$aApke, Alexander$$b3
000257346 773__ $$a10.1007/978-3-031-08411-9_13
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000257346 9141_ $$y2022
000257346 9201_ $$0I:(DE-2719)1011001$$kAG Klockgether$$lClinical Research Coordination$$x0
000257346 9201_ $$0I:(DE-2719)1013007$$kAG Becker$$lGenomMathematik in der Neuroepidemiologie$$x1
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