Vector extrapolation applied to truncated singular value decomposition and truncated iteration
From MaRDI portal
Publication:525258
DOI10.1007/s10665-013-9677-yzbMath1360.65109OpenAlexW2052390298MaRDI QIDQ525258
Publication date: 28 April 2017
Published in: Journal of Engineering Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10665-013-9677-y
truncated singular value decompositiondiscrete ill-posed problemtruncated iterationlsqrtruncation criterionvector extrapolation
Related Items (3)
Shanks Sequence Transformations and Anderson Acceleration ⋮ Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework ⋮ Simple stopping criteria for the LSQR method applied to discrete ill-posed problems
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Comparing parameter choice methods for regularization of ill-posed problems
- An extrapolated TSVD method for linear discrete ill-posed problems with Kronecker structure
- Error estimates for linear systems with applications to regularization
- Error estimates for the regularization of least squares problems
- Vector extrapolation enhanced TSVD for linear discrete ill-posed problems
- Error estimates for large-scale ill-posed problems
- Recursive algorithms for vector extrapolation methods
- Extrapolation methods theory and practice
- Convergence acceleration for the iterative solution of the equations X = AX + f
- Extrapolation techniques for ill-conditioned linear systems
- Vector extrapolation methods. Applications and numerical comparison
- Preconditioned Hermitian and skew-Hermitian splitting methods for non-Hemitian positive semidefinite linear systems
- Old and new parameter choice rules for discrete ill-posed problems
- Convergence analysis of minimization-based noise level-free parameter choice rules for linear ill-posed problems
- Reduced rank extrapolation applied to electronic structure computations
- Regularization tools version \(4.0\) for matlab \(7.3\)
- Improvement of the resolution of an instrument by numerical solution of an integral equation
- Computational Methods for Integral Equations
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- The Use of Auto-correlation for Pseudo-rank Determination in Noisy III-conditioned Linear Least-squares Problems
- Determining Surface Temperatures from Interior Observations
This page was built for publication: Vector extrapolation applied to truncated singular value decomposition and truncated iteration