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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.