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Inverse Problems of Determining Sources of the Fractional Partial Differential Equations
In this chapter, we mainly review theoretical results on inverse source
problems for diffusion equations with the Caputo time-fractional derivatives of
order . Our survey covers the following types of inverse
problems: 1. determination of time-dependent functions in interior source terms
2. determination of space-dependent functions in interior source terms 3.
determination of time-dependent functions appearing in boundary condition
Estimating a pressure dependent thermal conductivity coefficient with applications in food technology
In this paper we introduce a method to estimate a pressure dependent thermal
conductivity coefficient arising in a heat diffusion model with applications in
food technology. To address the known smoothing effect of the direct problem,
we model the uncertainty of the conductivity coefficient as a hierarchical
Gaussian Markov random field (GMRF) restricted to uniqueness conditions for the
solution of the inverse problem established in Fraguela et al. Furthermore, we
propose a Single Variable Exchange Metropolis-Hastings algorithm to sample the
corresponding conditional probability distribution of the conductivity
coefficient given observations of the temperature. Sensitivity analysis of the
direct problem suggests that large integration times are necessary to identify
the thermal conductivity coefficient. Numerical evidence indicates that a
signal to noise ratio of roughly 1000 suffices to reliably retrieve the thermal
conductivity coefficient
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