Abstract
The model-based simulation discussed in this chapter is used to analyze and predict the behavior of complex systems (here: in sports). For this purpose, in the presented approach the real system is mapped to a mathematical-informatics model. The time-dependent values of the system components are captured by variables whose interaction-related changes can be described by functions or algorithms. With the help of such simulations, system behavior in sports can be better understood and system control can be optimized through targeted solution control. As example, performance analysis in training and competition (here: tennis) as well as tactics analysis in team games, here especially soccer, are presented and discussed in depth in this chapter.
Jürgen Perl was deceased at the time of publication.
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© 2024 The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature
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Perl, J., Memmert, D. (2024). Simulation. In: Memmert, D. (eds) Computer Science in Sport. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-68313-2_11
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DOI: https://doi.org/10.1007/978-3-662-68313-2_11
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