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High-Performance Algorithms for Tridiagonal Symmetric Matrices Diagonalization Based on Elementary Planar Rotations
Author(s) -
V.I. Jordan
Publication year - 2017
Publication title -
izvestiâ altajskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 1561-9451
pISSN - 1561-9443
DOI - 10.14258/izvasu(2017)1-15
Subject(s) - tridiagonal matrix , algorithm , mathematics , convergence (economics) , tridiagonal matrix algorithm , eigenvalues and eigenvectors , matrix (chemical analysis) , stability (learning theory) , computer science , physics , materials science , quantum mechanics , machine learning , economics , composite material , economic growth

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