Computational model

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Short description: Mathematical model of a complex system


A computational model uses computer programs to simulate and study complex systems[1] using an algorithmic or mechanistic approach and is widely used in a diverse range of fields spanning from physics,[2] engineering,[3] chemistry[4] and biology[5] to economics, psychology, cognitive science and computer science. [6]

The system under study is often a complex nonlinear system[7] for which simple, intuitive analytical solutions are not readily available. Rather than deriving a mathematical analytical solution to the problem, experimentation with the model is done by adjusting the parameters of the system in the computer, and studying the differences in the outcome of the experiments.[8] Operation theories of the model can be derived/deduced from these computational experiments.

Examples of common computational models are weather forecasting models, earth simulator models, flight simulator models, molecular protein folding models, Computational Engineering Models (CEM),[9] and neural network models.

See also

References

  1. "Computational Modeling" (in en). https://www.nibib.nih.gov/science-education/science-topics/computational-modeling. 
  2. "Computational Modelling in Space Physics | Frontiers Research Topic". https://www.frontiersin.org/research-topics/39950/computational-modelling-in-space-physics. 
  3. "What is Computational Engineering?". https://www.ae.utexas.edu/undergraduate/computational-undergrad-program/what-is-computational-engineering. 
  4. "Computational Molecular Modeling - an overview | ScienceDirect Topics". https://www.sciencedirect.com/topics/chemistry/computational-molecular-modeling. 
  5. "Computational Modeling in Developmental Biology" (in en). 2021-04-14. https://www.news-medical.net/life-sciences/Computational-Modeling-in-Developmental-Biology.aspx. 
  6. "Computational Modeling". https://www.nibib.nih.gov/science-education/science-topics/computational-modeling#:~:text=Computational%20modeling%20is%20the%20use,characterize%20the%20system%20being%20studied.. 
  7. Grubb, Amanda L.; Moushegian, Alex; Heathcote, Daniel J.; Smith, Marilyn J. (2020-01-06) (in en). Physics and Computational Modeling of Nonlinear Transverse Gust Encounters. American Institute of Aeronautics and Astronautics. doi:10.2514/6.2020-0080. ISBN 978-1-62410-595-1. https://arc.aiaa.org/doi/10.2514/6.2020-0080. 
  8. "Computational models - Latest research and news | Nature". https://www.nature.com/subjects/computational-models. 
  9. "Computational Modelling in Engineering" (in en). https://www.fer.unizg.hr/en/studies/cro/master/fer3/computing/cme.