Vector extrapolation based Landweber method for discrete ill-posed problems
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Publication:1992317
DOI10.1155/2017/1375716zbMath1426.65054OpenAlexW2771019660MaRDI QIDQ1992317
Xian-Ming Gu, Liang-Jian Deng, Xi-Le Zhao, Ting-Zhu Huang
Publication date: 5 November 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/1375716
Ill-posedness and regularization problems in numerical linear algebra (65F22) Iterative numerical methods for linear systems (65F10)
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Cites Work
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- Projected Landweber iteration for matrix completion
- FOM accelerated by an extrapolation method for solving PageRank problems
- Vector extrapolation methods with applications to solution of large systems of equations and to PageRank computations
- Efficient implementation of minimal polynomial and reduced rank extrapolation methods
- Vector extrapolation methods. Applications and numerical comparison
- Cauchy noise removal by nonconvex ADMM with convergence guarantees
- Iterative methods for image deblurring: A Matlab object-oriented approach
- A New Convex Optimization Model for Multiplicative Noise and Blur Removal
- LSMR: An Iterative Algorithm for Sparse Least-Squares Problems
- Convergence and Stability Properties of Minimal Polynomial and Reduced Rank Extrapolation Algorithms
- Extrapolation Methods for Vector Sequences
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Rank-Deficient and Discrete Ill-Posed Problems
- Anti-reflective boundary conditions and re-blurring
- LU implementation of the modified minimal polynomial extrapolation method for solving linear and nonlinear systems
- TWO CSCS-BASED ITERATION METHODS FOR SOLVING ABSOLUTE VALUE EQUATIONS
- Discrete Inverse Problems
- A framework for studying the regularizing properties of Krylov subspace methods
- Stopping rules for Landweber-type iteration
