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Inverse problems in diffusion process with uncertain parameters

Publication Type : Book Chapter

Publisher : Elsevier

Source : New Paradigms in Computational Modeling and Its Applications

Url : https://www.sciencedirect.com/science/article/pii/B9780128221334000062

Campus : Chennai

School : School of Engineering

Department : Mechanical

Verified : No

Year : 2021

Abstract : This chapter presents a new iteration method to find approximate bounds of nonprobabilistic parameters involved in various diffusion models. Estimating nonprobabilistic parameters from the experimental data of a diffusion model is a challenging task. In this regard, here we have proposed a new inverse iteration technique to estimate the nonprobabilistic parameters from known experimental data of the diffusion model. Finally, for the validation of the method, a radon diffusion model along with the known experimental data has been investigated.

Cite this Research Publication : T. D. Rao and S. Chakraverty., Inverse problems in diffusion process with uncertain parameters. "New Paradigms in Computational Modeling and Its Applications" Elsevier.

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