An efficient truncated SVD of large matrices based on the low-rank approximation for inverse geophysical problems

DOI10.17377/SEMI.2015.12.048zbMath1342.65117OpenAlexW2618985210MaRDI QIDQ2630591

Sergey Alexandrovich Solovyev, Sébastian Tordeux

Publication date: 28 July 2016

Published in: Sibirskie Èlektronnye Matematicheskie Izvestiya (Search for Journal in Brave)

Full work available at URL: https://hal.archives-ouvertes.fr/hal-01414769

zbMATH Keywords

parallel computinghigh-performance computinglow-rank approximationSVD algorithmBorn matrixcross approximation (CA)

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15)

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