Solving the inverse problem with such massive datasets is computationally demanding, in particular, when dealing with a large number of model parameters. This article proposes a novel randomized ...

A domain decomposition method is presented for analyzing electromagnetic problems involving multiple nonoverlapping scatterers or electrically large scatterers. We first construct a sparse or ...

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2.2 Tesseroid body inversion method To implement the density inversion, we need to calculate the average field source depths corresponding to the signals in different frequency bands which are used to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Cayley-Hamilton technique. Compared to other matrix inverse algorithms, ...

Machine learning method improves accuracy of inverse protein folding for drug design by University of Sheffield edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...