PRIMME_SVDS

swMATH15812MaRDI QIDQ27684

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Described by source

• PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations

Related Items (14)

Periodically driven perturbed CFTs: the sine-Gordon model ⋮ A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices ⋮ Accelerating large partial EVD/SVD calculations by filtered block Davidson methods ⋮ Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse ⋮ Two harmonic Jacobi-Davidson methods for computing a partial generalized singular value decomposition of a large matrix pair ⋮ Hybrid iterative refined restarted Lanczos bidiagonalization methods ⋮ Computing the smallest singular triplets of a large matrix ⋮ TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems ⋮ Approaching the self-dual point of the sinh-Gordon model ⋮ Sharp error bounds for Ritz vectors and approximate singular vectors ⋮ A cross-product approach for low-rank approximations of large matrices ⋮ Spectral condition‐number estimation of large sparse matrices ⋮ On Inner Iterations of Jacobi--Davidson Type Methods for Large SVD Computations ⋮ A Golub--Kahan Davidson Method for Accurately Computing a Few Singular Triplets of Large Sparse Matrices

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