Inverse subspace problems with applications
DOI10.1002/nla.1914zbMath1340.65069OpenAlexW1961891720MaRDI QIDQ2948071
Silvia Noschese, Lothar Reichel
Publication date: 29 September 2015
Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nla.1914
numerical experimentsLanczos methodFrobenius normminimizationArnoldi methodLanczos bidiagonalizationdiscrete ill-posed problemimage deblurring problemFredholm integral equation of the first kindmatrix approximationblurring matrixinverse singular subspace probleminverse subspace problemsubspace-restricted SVD method
Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical computation of matrix norms, conditioning, scaling (65F35) Orthogonalization in numerical linear algebra (65F25)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Subspace-restricted singular value decompositions for linear discrete ill-posed problems
- An iterative method for Tikhonov regularization with a general linear regularization operator
- Backward perturbation analysis of certain characteristic subspaces
- Computing smallest singular triplets with implicitly restarted Lanczos bidiagonalization
- An implicitly restarted block Lanczos bidiagonalization method using Leja shifts
- Regularization tools version \(4.0\) for matlab \(7.3\)
- Harmonic and refined extraction methods for the singular value problem, with applications in least squares problems
- Numerical Methods for Large Eigenvalue Problems
- Deblurring Images
- Rank-Deficient and Discrete Ill-Posed Problems
- Augmented Implicitly Restarted Lanczos Bidiagonalization Methods
This page was built for publication: Inverse subspace problems with applications