Abstract
In this contribution, the inverse optical imaging problem is formulated as both simply bound-constrained and unconstrained minimization problems in order to illustrate the reduction in computational time and storage. The Galerkin finite element method is used for the numerical solution of the excitation and emission diffusion equations. The inverse approach employs the truncated Newton method with trust region, and modified automatic reverse differentiation method is used to calculate the gradients thus sped up the computation of the optimization problem.
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