Chapter 7: Inverse problems in diffusion processes with uncertain parameters
T.D. Rao; Snehashish Chakraverty Department of Mathematics, National Institute of Technology Rourkela, Rourkela, Odisha, India
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 ...
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