An efficient method to set up a Lanczos based preconditioner for discrete ill-posed problems
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Publication:1791438
DOI10.1016/j.apm.2013.03.064zbMath1426.65043OpenAlexW2155800415MaRDI QIDQ1791438
Publication date: 10 October 2018
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2013.03.064
Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical methods for integral equations (65R20) Preconditioners for iterative methods (65F08)
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Uses Software
Cites Work
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- corner.m
- Lanczos based preconditioner for discrete ill-posed problems
- Singular values and condition numbers of Galerkin matrices arising from linear integral equations of the first kind
- Computation of the singular value expansion
- Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems
- An adaptive pruning algorithm for the discrete L-curve criterion
- Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
- A Bidiagonalization-Regularization Procedure for Large Scale Discretizations of Ill-Posed Problems
- Determining Surface Temperatures from Interior Observations
- The Mathematical Theory of Finite Element Methods
- The Eigen-Values and Singular Values of Integral Equations†
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