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Unfortunately, standard mathematical modeling practices mask the importance of parameters that control contact inhibition through scaling arguments.
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The accuracy of a mathematical model in practice depends on both the validity of the assumptions made and the quality of the knowledge of system data.
Introduction to the theory and practice of mathematical modeling.
It discusses that OR is essentially a variation on the scientific practice of mathematical modeling.
Therefore, the performance of controller, which is designed based on the mathematical model, defects in practice.
Fractional derivatives of variable order were also used to set up the mathematical models for engineering practice, especially in the fields of heat [20] and fluid flows [21, 22].
Such an approach would necessitate the use of far more complex mathematical models that, in practice, would impose limits on the analysis of systems reducing it to the analysis of systems with a very low capacity, much lower than the capacity of the systems considered in the article.
Dr. Wang’s research often applies mathematical modeling to synthesize evidence for informing policy and practice.
Decision-making in practice of industrial enterprises forms a significant field for mathematical modeling of behavior in complex market environment.
The complexity of mathematical models used by practicing engineers is increasing due to the growing availability of sophisticated mathematical modeling tools and ever-improving computational power.
Mathematical modeling of the data resulted in expected positive predictive values over 98% for populations with antibody prevalences typical of clinical practices in the US and Europe.
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CEO of Professional Science Editing for Scientists @ prosciediting.com