Open AccessLow rank approximation of positive semi-definite symmetric matrices using Gaussian elimination and volume sampling
Author(s) -
Markus Hegland,
Frank de Hoog
Publication year - 2021
Publication title -
australian and new zealand industrial and applied mathematics journal. electronic supplement
Language(s) - English
Resource type - Journals
ISSN - 1445-8810
DOI - 10.21914/anziamj.v62.16036
Subject(s) - positive definite matrix , eigenvalues and eigenvectors , mathematics , matrix (chemical analysis) , matrix norm , rank (graph theory) , invariant (physics) , numerical linear algebra , low rank approximation , gaussian , random matrix , combinatorics , algebra over a field , discrete mathematics , pure mathematics , linear system , mathematical analysis , materials science , physics , quantum mechanics , tensor (intrinsic definition) , composite material , mathematical physics