Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...
Topological methods offer a rigorous mathematical framework that underpins modern approaches to inverse scattering and imaging. By quantifying the sensitivity of a misfit or cost functional to ...
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