For a coupled diffusion fluorescence model, the source is unique and Lipschitz stable from terminal data, and a two-stage regularized inversion from discrete noisy sensors has explicit probabilistic convergence rates.
Arridge and John C
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Quantitative estimates for a nonlinear inverse source problem in a coupled diffusion equations with uncertain measurements
For a coupled diffusion fluorescence model, the source is unique and Lipschitz stable from terminal data, and a two-stage regularized inversion from discrete noisy sensors has explicit probabilistic convergence rates.