Titlebook: Computational Life Sciences; Data Engineering and Jens D?rpinghaus,Vera Weil,Alexander Apke Book 2022 The Editor(s) (if applicable) and The

沙文主義

https://doi.org/10.1007/978-3-642-61619-8protein interaction networks. In this chapter, we introduce the analysis of graph structures with Java. In particular, we discuss directed and undirected graphs, random graphs and interaction networks.

Mortal

Systematik und Grundlagen zu BIM im FM,This chapter is a principal introduction to the Java programming language, treating the setup of an adequate environment, basics and the integration of external libraries. Beyond, it provides information of using collaborative tools like Git. This quick start guide to Java is designed to be application-oriented, supporting an easy start.

不在灌木叢中

https://doi.org/10.1007/978-3-658-30830-8This chapter comes in hand with the second chapter, to provide the reader with more information about Java. In particular it focuses on Basic Data Processing. Amongst other topics, common data structures and their usage as well as aspects of the object-orientied programming paradigm are introduced

雪白

Introduction to JavaThis chapter is a principal introduction to the Java programming language, treating the setup of an adequate environment, basics and the integration of external libraries. Beyond, it provides information of using collaborative tools like Git. This quick start guide to Java is designed to be application-oriented, supporting an easy start.

治愈

Infinitesimal

https://doi.org/10.1007/978-3-031-08411-9Data Engineering; Data Mining; Life Science Informatics; Bioinformatics; Knowledge Discovery

最高峰

Keratectomy

HUMID

https://doi.org/10.1007/978-3-322-97143-2be 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 eff

尊嚴

Margret Schencking,Friedrich-Wilhelm D?rgeisciplinary field, touching economics (how efficient and expensive is the solution?), psychology (does one use this solution in a way that was intended?) and, of course, informatics. This chapter offers a theoretical overview on Data and Knowledge Management and thus provides a theoretic foundation