Results 101 to 110 of about 281 (133)
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On the Convergence of Restarted Krylov Subspace Methods
SIAM Journal on Matrix Analysis and Applications, 2000The paper is concerned with investigation of convergence of Krylov subspace iterative method for the solution of large nonsymmetric linear systems. Restarted methods terminate the process after a fixed number of iterations and then repeat the procedure using the residual of the current approximate solution as new initial vector.
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Application of Krylov subspaces to SPECT imaging
International Journal of Imaging Systems and Technology, 2002AbstractThe application of the conjugate gradient (CG) algorithm to the problem of data reconstruction in SPECT imaging indicates that most of the useful information is already contained in Krylov subspaces of small dimension, ranging from 9 (two‐dimensional case) to 15 (three‐dimensional case).
CALVINI P., BERTERO, MARIO
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Error-Minimizing Krylov Subspace Methods
SIAM Journal on Scientific Computing, 1994This paper first introduces generalized conjugate gradient methods which specialize to error minimizing procedures as well as to residual minimizing methods. General minimum error methods are then introduced, and the two method classes are compared.
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Least Squares Methods in Krylov Subspaces
Journal of Mathematical Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Iterative Processes in the Krylov–Sonneveld Subspaces
Journal of Mathematical Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2015
Voce di Enciclopedia. Abstract del libro: This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important equations, laws, and functions; looks
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Voce di Enciclopedia. Abstract del libro: This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important equations, laws, and functions; looks
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A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
Automatica, 2021Jing Chen, Biao Huang, Min Gan
exaly
The Origin and Development of Krylov Subspace Methods
Computing in Science & Engineering, 2022openaire +1 more source
A Restarted Krylov Subspace Method for the Evaluation of Matrix Functions
SIAM Journal on Numerical Analysis, 2006Oliver Ernst
exaly