Gradient Sampling Methods for Noisy Nonconvex Nonsmooth Optimization
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Computational techniques for solving problems in image processing, statistical learning, robust control, distance geometry, and other areas require that large-scale unstructured optimization problems be solved. To obtain solutions that translate best into real-world settings, these problems should involve models of the real world that are as…
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