% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INBOOK{Apke:257352,
author = {Apke, Alexander and Weil, Vera and Dörpinghaus, Jens and
Schaaf, Sebastian},
title = {{A}lgorithm {D}esign; 1st ed. 2022},
volume = {112},
address = {Cham},
publisher = {Springer International Publishing},
reportid = {DZNE-2023-00421},
isbn = {978-3-031-08411-9},
series = {Studies in Big Data},
pages = {79-98},
year = {2022},
comment = {[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,},
booktitle = {[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,},
abstract = {In 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.},
cin = {AG Becker / AG Klockgether},
ddc = {620.00285},
cid = {I:(DE-2719)1013007 / I:(DE-2719)1011001},
pnm = {354 - Disease Prevention and Healthy Aging (POF4-354) / 353
- Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-354 / G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)7},
doi = {10.1007/978-3-031-08411-9_4},
url = {https://pub.dzne.de/record/257352},
}