Parallelizing Under-Determined Inverse Problems for Network Applications

Abstract

In this paper, we introduce a new technique for partitioning a large-scale under-determined linear inverse problem into multiple smaller subproblems that can be efficiently solved independently, and in parallel. When it is impossible or inefficient to solve a large-scale under-determined linear inverse problem, this technique can be used to significantly… (More)
DOI: 10.1109/TETCI.2016.2635129

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