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Recycling Subspace Information for Diffuse Optical Tomography
We discuss the efficient solution of a long sequence of slowly varying linear systems arising in computations for diffuse optical tomographic imaging. The reconstruction of three-dimensional absorption and scattering information by matching computed solutions from a parameterized model to measured data leads to a nonlinear least squares problem that we …