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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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On two-subspace randomized extended Kaczmarz method for solving large linear least-squares problems
Numerical Algorithms, 2021Wen-Ting Wu
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Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification
IEEE Transactions on Neural Networks and Learning Systems, 2023Yuhong Xu, Zhiwen Yu, C L Philip Chen
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Grassmannian learning mutual subspace method for image set recognition
Neurocomputing, 2023Lincon S Souza +2 more
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Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022Zhengkun Yi +2 more
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