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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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The variational subspace valence bond method

The Journal of Chemical Physics, 2015
The variational subspace valence bond (VSVB) method based on overlapping orbitals is introduced. VSVB provides variational support against collapse for the optimization of overlapping linear combinations of atomic orbitals (OLCAOs) using modified orbital expansions, without recourse to orthogonalization.
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Subspace Methods

2009
Mads Græsbøll Christensen   +1 more
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Subspace Methods

2010
Rolf Isermann, Marco Münchhof
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Krylov Subspace Methods

2012
Jörg Liesen, Zdenek Strakos
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Subspace methods

2018
Jose Casals   +4 more
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Subspace identification methods

2020
Pierre Thijssen, Sillas Hadjiloucas
openaire   +1 more source

The subspace coding method

Proceedings of the ninth international conference on Information and knowledge management, 2000
Yasushi Sakurai   +3 more
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$k$-Subspace Method

2025 1st International Conference on Consumer Technology (ICCT-Pacific)
Yasuhito Fujii   +2 more
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