A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems

Title
A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems
Authors
Keywords
-
Journal
MATHEMATICAL PROGRAMMING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-23
DOI
10.1007/s10107-019-01404-0

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