KRYLOV SUBSPACE METHODS WITH DEFLATION AND BALANCING PRECONDITIONERS FOR LEAST SQUARES PROBLEMS
From MaRDI portal
Publication:5859350
DOI10.11948/2019.57OpenAlexW2913427651MaRDI QIDQ5859350
No author found.
Publication date: 16 April 2021
Published in: Journal of Applied Analysis & Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.11948/2019.57
Ill-posedness and regularization problems in numerical linear algebra (65F22) Iterative numerical methods for linear systems (65F10)
Cites Work
- A generalized product-type BiCOR method and its application in signal deconvolution
- Preconditioned GMRES methods for least squares problems
- Wavelet-based two-level methods for image restoration
- A new shifted block GMRES method with inexact breakdowns for solving multi-shifted and multiple right-hand sides linear systems
- On the Construction of Deflation-Based Preconditioners
- A New Convex Optimization Model for Multiplicative Noise and Blur Removal
- Deflation of Conjugate Gradients with Applications to Boundary Value Problems
- GMRES Methods for Least Squares Problems
- Balancing domain decomposition
- Deflation and Balancing Preconditioners for Krylov Subspace Methods Applied to Nonsymmetric Matrices
- Multilevel Projection-Based Nested Krylov Iteration for Boundary Value Problems
- Matrix Analysis
- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- Damped Jacobi Preconditioning and Coarse Grid Deflation for Conjugate Gradient Iteration on Parallel Computers
- Solution of Sparse Indefinite Systems of Linear Equations
- Error-Minimizing Krylov Subspace Methods
- A block GMRES method with deflated restarting for solving linear systems with multiple shifts and multiple right‐hand sides
- Iterative Krylov Methods for Large Linear Systems
- Total Variation Structured Total Least Squares Method for Image Restoration
- A Comparison of Deflation and the Balancing Preconditioner
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item