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Analysis of Augmented Krylov Subspace Methods
SIAM Journal on Matrix Analysis and Applications, 1997``Augmented Krylov methods'' are studied theoretically. These methods for solving a linear system are projection methods in which the subspace of projection is of the form \(K = K_{m} + W\), where \(K_{m}\) is the standard Krylov subspace, which is augmented by another subspace \(W\). The subspace \(W\) can be chosen in different ways.
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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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Subspace methods for face recognition
Computer Science Review, 2010Ashok Rao, Shaffi Noushath
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Subspace-based methods for the identification of linear time-invariant systems
Automatica, 1995Mats Viberg
exaly
On the Occurrence of Superlinear Convergence of Exact and Inexact Krylov Subspace Methods
SIAM Review, 2005Valeria Simoncini, Daniel B Szyld
exaly