Multisplitting for regularized least squares with Krylov subspace recycling
DOI10.1002/nla.797zbMath1274.65117OpenAlexW2145369620MaRDI QIDQ4924926
Hongbin Guo, Youzuo Lin, Rosemary A. Renaut
Publication date: 10 June 2013
Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nla.797
algorithmconvergenceregularizationnumerical experimentsleast squaresill-posed problemsadditive Schwarz methodKrylov subspacesmultisplittingconjugate gradient least squares method
Ill-posedness and regularization problems in numerical linear algebra (65F22) Iterative numerical methods for linear systems (65F10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- BiCGStab(\(\ell\)) for families of shifted linear systems
- UPRE method for total variation parameter selection
- Restarted full orthogonalization method for shifted linear systems
- AIR tools -- a MATLAB package of algebraic iterative reconstruction methods
- Nonstationary Multisplittings with General Weighting Matrices
- Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
- An Algebraic Convergence Theory for Restricted Additive Schwarz Methods Using Weighted Max Norms
- Recent computational developments in Krylov subspace methods for linear systems
- Recycling Krylov Subspaces for Sequences of Linear Systems
- Multi-Splittings of Matrices and Parallel Solution of Linear Systems
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Parallel Variable Distribution
- Rank-Deficient and Discrete Ill-Posed Problems
- Analysis of Projection Methods for Solving Linear Systems with Multiple Right-Hand Sides
- A Restricted Additive Schwarz Preconditioner for General Sparse Linear Systems
- Galerkin Projection Methods for Solving Multiple Linear Systems
- On the Lanczos Method for Solving Symmetric Linear Systems with Several Right-Hand Sides
- Computational Methods for Inverse Problems
- A comparison result for multisplittings and waveform relaxation methods
- A parallel multisplitting solution of the least squares problem
- A Projection‐Based Approach to General‐Form Tikhonov Regularization
- On the convergence of nonstationary iterative methods for symmetric positive (semi)definite systems
- Algebraic theory of multiplicative Schwarz methods
This page was built for publication: Multisplitting for regularized least squares with Krylov subspace recycling