Mathematical Formulation and Numerical Methods for Partial Differential Equations: A Review

Authors

  • Yogesh Tulashidas Khawal, Shoyeb Ali Sayyed

DOI:

https://doi.org/10.17762/msea.v71i4.1290

Abstract

Mathematical models are helpful test devices for structure and testing hypotheses, evaluating quantitative guesses, responding to explicit inquiries, deciding sensitivities to change in parameter esteems and assessing key parameters from information. Displaying is a basic and indistinguishable piece of all logical action, and numerous logical orders have their very own thoughts regarding explicit sorts of demonstrating. A model is a rearranged unique perspective on the perplexing reality. A logical model speaks to exact articles, wonders, and physical procedures in a coherent manner. A PDE defines a relation existing between unfamiliar performance and partial derivatives. PDEs show up often in all aspects of engineering and physics. Additionally, in current years it has seen a remarkable rise in usage of PDEs in various areas like chemistry, biology, computer sciences and in economics. In every area in which there's an interaction among a selection of independent variables, we make an effort in order to explain features in such variables as well as to write/model a range of tasks by forming equations for such features.

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Published

2022-12-14

How to Cite

Yogesh Tulashidas Khawal, Shoyeb Ali Sayyed. (2022). Mathematical Formulation and Numerical Methods for Partial Differential Equations: A Review. Mathematical Statistician and Engineering Applications, 71(4), 6891–6902. https://doi.org/10.17762/msea.v71i4.1290

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Articles