A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems
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Publication:2425182
DOI10.1007/s10107-019-01404-0OpenAlexW2949566661WikidataQ127828975 ScholiaQ127828975MaRDI QIDQ2425182
Meisam Razaviyayn, Navid Reyhanian, Mingyi Hong, Zhi-Quan Luo
Publication date: 26 June 2019
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.05251
Gauss-Seidel algorithmlinear systems of equationsnonuniform block coordinate descent algorithmover-parameterized optimization
Numerical linear algebra (65Fxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx)
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