Contribution to a book DZNE-2023-00415

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Optimization

 ;  ;  ;

2022
Springer International Publishing Cham
ISBN: 978-3-031-08411-9

[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, Cham : Springer International Publishing, Studies in Big Data 112, : 1st ed. 2022, 361-396 () [10.1007/978-3-031-08411-9_13]

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Abstract: 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.

Keyword(s): Engineering—Data processing (LCSH) ; Bioinformatics (LCSH) ; Big data (LCSH) ; Computational intelligence (LCSH)

Classification:

Contributing Institute(s):
  1. Clinical Research Coordination (AG Klockgether)
  2. GenomMathematik in der Neuroepidemiologie (AG Becker)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)
  2. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2022
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The record appears in these collections:
Institute Collections > BN DZNE > BN DZNE-Clinical Research (Bonn)
Document types > Books > Contribution to a book
Institute Collections > BN DZNE > BN DZNE-GenomMathematik
Public records
Publications Database

 Record created 2023-04-03, last modified 2023-07-26



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