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001 | 257346 | ||
005 | 20230726100244.0 | ||
020 | _ | _ | |a 978-3-031-08411-9 |
024 | 7 | _ | |2 doi |a 10.1007/978-3-031-08411-9_13 |
024 | 7 | _ | |2 K10Plus |a K10Plus:1838448012 |
037 | _ | _ | |a DZNE-2023-00415 |
082 | _ | _ | |a 620.00285 |
100 | 1 | _ | |0 P:(DE-2719)2810719 |a Dörpinghaus, Jens |b 0 |e First author |u dzne |
245 | _ | _ | |a Optimization |
250 | _ | _ | |a 1st ed. 2022 |
260 | _ | _ | |a Cham |b Springer International Publishing |c 2022 |
295 | 1 | 0 | |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, |
300 | _ | _ | |a 361-396 |
336 | 7 | _ | |2 ORCID |a BOOK_CHAPTER |
336 | 7 | _ | |0 7 |2 EndNote |a Book Section |
336 | 7 | _ | |2 DRIVER |a bookPart |
336 | 7 | _ | |2 BibTeX |a INBOOK |
336 | 7 | _ | |2 DataCite |a Output Types/Book chapter |
336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |b contb |m contb |s 1681903170_4485 |
490 | 0 | _ | |a Studies in Big Data |v 112 |
520 | _ | _ | |a In 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. |
536 | _ | _ | |0 G:(DE-HGF)POF4-353 |a 353 - Clinical and Health Care Research (POF4-353) |c POF4-353 |f POF IV |x 0 |
536 | _ | _ | |0 G:(DE-HGF)POF4-354 |a 354 - Disease Prevention and Healthy Aging (POF4-354) |c POF4-354 |f POF IV |x 1 |
588 | _ | _ | |a Dataset connected to K10Plus |
650 | _ | 0 | |a Engineering—Data processing |
650 | _ | 0 | |a Bioinformatics |
650 | _ | 0 | |a Big data |
650 | _ | 0 | |a Computational intelligence |
700 | 1 | _ | |a Weil, Vera |b 1 |
700 | 1 | _ | |0 P:(DE-2719)9002247 |a Schaaf, Sebastian |b 2 |u dzne |
700 | 1 | _ | |a Apke, Alexander |b 3 |
773 | _ | _ | |a 10.1007/978-3-031-08411-9_13 |
909 | C | O | |o oai:pub.dzne.de:257346 |p VDB |
910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)2810719 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 0 |k DZNE |
910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)9002247 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 2 |k DZNE |
913 | 1 | _ | |0 G:(DE-HGF)POF4-353 |1 G:(DE-HGF)POF4-350 |2 G:(DE-HGF)POF4-300 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |v Clinical and Health Care Research |x 0 |
913 | 1 | _ | |0 G:(DE-HGF)POF4-354 |1 G:(DE-HGF)POF4-350 |2 G:(DE-HGF)POF4-300 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |v Disease Prevention and Healthy Aging |x 1 |
914 | 1 | _ | |y 2022 |
920 | 1 | _ | |0 I:(DE-2719)1011001 |k AG Klockgether |l Clinical Research Coordination |x 0 |
920 | 1 | _ | |0 I:(DE-2719)1013007 |k AG Becker |l GenomMathematik in der Neuroepidemiologie |x 1 |
980 | _ | _ | |a contb |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-2719)1011001 |
980 | _ | _ | |a I:(DE-2719)1013007 |
980 | _ | _ | |a UNRESTRICTED |
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