Inverse Problems on Large Scales at RICAM-Johann Radon Institute for Computational and Applied Mathematics
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In this talk, we present central ideas behind the recently developed fixed point strategies for a nonconvexly regularized sparse least squares model and a hierarchical convex optimization problem.
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