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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.
openaire   +1 more source

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.
openaire   +2 more sources

Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification

IEEE Transactions on Neural Networks and Learning Systems, 2023
Yuhong Xu, Zhiwen Yu, C P Chen
exaly  

Subspace Methods

2009
Mads Græsbøll Christensen   +1 more
openaire   +1 more source

Subspace Methods

2010
Rolf Isermann, Marco Münchhof
openaire   +1 more source

Krylov Subspace Methods

2012
Jörg Liesen, Zdenek Strakos
openaire   +2 more sources

Subspace methods

2018
Jose Casals   +4 more
openaire   +1 more source

Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Zhengkun Yi, Wanfeng Shang, Tiantian Xu
exaly  

Subspace identification methods

2020
Pierre Thijssen, Sillas Hadjiloucas
openaire   +1 more source

Generalized Latent Multi-View Subspace Clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Changqing Zhang, Huazhu Fu, Qinghua Hu
exaly  

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