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Block Krylov Subspace Methods for Functions of Matrices II: Modified Block FOM
Author(s) -
Andreas Frommer,
Kathryn Lund,
Daniel B. Szyld
Publication year - 2020
Publication title -
siam journal on matrix analysis and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.268
H-Index - 101
eISSN - 1095-7162
pISSN - 0895-4798
DOI - 10.1137/19m1255847
Subject(s) - krylov subspace , mathematics , generalized minimal residual method , block (permutation group theory) , interpolation (computer graphics) , block matrix , eigenvalues and eigenvectors , matrix function , matrix (chemical analysis) , convergence (economics) , algorithm , iterative method , symmetric matrix , combinatorics , computer science , animation , physics , computer graphics (images) , materials science , quantum mechanics , economics , composite material , economic growth
We analyze an expansion of the generalized block Krylov subspace framework of [Electron. Trans. Numer. Anal., 47 (2017), pp. 100--126]. This expansion allows the use of low-rank modifications of th...

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