%0 Book Section
%A Dörpinghaus, Jens
%A Weil, Vera
%A Schaaf, Sebastian
%A Apke, Alexander
%T Optimization; 1st ed. 2022
%V 112
%C Cham
%I Springer International Publishing
%M DZNE-2023-00415
%@ 978-3-031-08411-9
%B Studies in Big Data
%P 361-396
%D 2022
%< [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,
%X 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.
%F PUB:(DE-HGF)7
%9 Contribution to a book
%R 10.1007/978-3-031-08411-9_13
%U https://pub.dzne.de/record/257346