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Numerical methods for experimental design of large-scale linear ill-posed inverse problems

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Figure

Figure 1 shows a sketch of the experimental setup used in our numerical simulation. The medium is represented by the square region [0, 1] × [0, 1] with boreholes covering the interval [0, 1] on each of the sides
Figure 2: The first three training models obtained from the Marmusi model.
Figure 3: The test model m 4 (left) and its estimates obtained with the non-optimal (middle) and optimal (right) designs.
Figure 4: MSE as a function of sparsity (k w k 0 = NNZ(w)) of the optimal w obtained with the L 0 heuristic on the tomography simulation.
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