Results 91 to 100 of about 155 (114)
. We discuss a new method for the iterative computation of a portion of the spectrum of a large sparse matrix. The matrix may be complex and non-normal. The method also delivers the Schur vectors associated with the computed eigenvalues. The eigenvectors
A. Van +3 more
core
Restoration of Atmospherically Blurred Images by Symmetric Indefinite Conjugate Gradient Techniques
We consider an ill-posed deconvolution problem from astronomical imaging with a given noise-contaminated observation, and an approximately known convolution kernel.
Martin Hanke, James G. Nagy
core
An Implementation of the Look-Ahead Lanczos Algorithm for Non-Hermitian Matrices
. The nonsymmetric Lanczos method can be used to compute eigenvalues of large sparse non-Hermitian matrices or to solve large sparse non-Hermitian linear systems. However, the original Lanczos algorithm is susceptible to possible breakdowns and potential
Noël M. Nachtigal +3 more
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A Unified Deflating Subspace Approach for Classes of Polynomial and Rational Matrix Equations
A unified deflating subspace approach is presented for the solution of a large class of matrix equations, including Lyapunov, Sylvester, Riccati and also some higher order polynomial matrix equations including matrix m-th roots and matrix sector ...
Peter Benner +3 more
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Some determinantal considerations for pentadiagonal matrices
Linear and Multilinear Algebra, 2021Carlos M da Fonseca, Milica Andelic
exaly
Tensor CUR Decomposition under T-Product and Its Perturbation
Numerical Functional Analysis and Optimization, 2022Yimin Wei
exaly
A note on parallel multisplitting TOR method forH-matrices
International Journal of Computer Mathematics, 2011Ting-Zhu Huang +2 more
exaly
Some inequalities for the Hadamard product of tensors
Linear and Multilinear Algebra, 2018Hong Yan, Lizhu Sun
exaly
The Polynomial Eigenvalue Problem is Well Conditioned for Random Inputs
SIAM Journal on Matrix Analysis and Applications, 2019Beltran Carlos, Diego Armentano
exaly

