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Limitations of the current experimental and mathematical methodologies are discussed and potential solutions are suggested.
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The simulation strategy and the mathematical methodology are described in detail.
Soft set, as efficient uncertain information processing mathematical methodology, is used to help us for finding the optimized solution under the uncertain environment.
A mathematical methodology was proposed with the objective of correlating the pressure drop and the flow rate of suspensions in fractures.
In this paper, a mathematical methodology is developed to quantify both model-form and parametric uncertainty using expert evidence within evidence theory.
The authors' statistical and mathematical methodology is complex.
The main issues related to the mathematical models and its numerical methodology are also presented in this paper.
In particular, different measures and mathematical modeling methodologies are employed in investigating human genomic diversity (e.g., Jobling et al. 2004; Barbujani et al. 2013; Kaplan and Winther 2013, 2014; Winther 2014).
Numerical experiments show that all the three new methodologies are feasible mathematical tools to describe complex physical behaviors.
This seems to contradict mathematical methodology; mathematics is not empirical (at least not usually), and most mathematical truths (e.g., "2 + 3 = 5") cannot be empirically falsified by discoveries about the nature of the physical world.
The concepts and underlining mathematical features of the methodology are elaborated in Sect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com