The detection and correction of silent errors in pipelined Krylov subspace methods. [PDF]
Carson EC, Hercík J.
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An Improved Reduced-Dimension Robust Capon Beamforming Method Using Krylov Subspace Techniques. [PDF]
Wang X, Jiang X, Chen Y.
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Equivalence between the combined approximations technique and Krylov subspace methods
The objective of this Note is to examine the equivalence between the CA technique and Krylov subspace methods. It is shown that the CA technique is a preconditioned Krylov subspace method.
Nair, Prasanth B.
core
Model-order-reduced spectral-element method for high-accuracy and fast 3-D transient electromagnetic forward modeling with SAI-Krylov. [PDF]
Fan Y, Lu K, Huang Y, Yue J, Yang Q.
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Evaluating Sample-Based Krylov Quantum Diagonalization for Heisenberg Models with Applications to Materials Science. [PDF]
Misciasci N +6 more
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Iterative-Based Impact Force Identification on a Bridge Concrete Deck. [PDF]
Rashidi M +4 more
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Selected Configuration Interaction Using Time-Evolved Population Statistics. [PDF]
Weaving T +3 more
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Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
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Convergence of restarted Krylov subspaces to invariant subspaces
The performance of Krylov subspace eigenvalue algorithms for large matrices can be measured by the angle between a desired invariant subspace and the Krylov subspace. We develop general bounds for this convergence that include the effects of polynomial restarting and impose no restrictions concerning the diagonalizability of the matrix or its degree of
Beattie, C, Embree, M, Rossi, J
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Enhanced Krylov Methods for Molecular Hamiltonians: Reduced Memory Cost and Complexity Scaling via Tensor Hypercontraction. [PDF]
Wang Y, Luo M, Reumann M, Mendl CB.
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