An EM-based iterative method for solving large sparse linear systems
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Publication:5205779
DOI10.1080/03081087.2018.1498061zbMath1427.65040arXiv1609.00670OpenAlexW3103760515WikidataQ114641449 ScholiaQ114641449MaRDI QIDQ5205779
Minwoo Chae, Stephen G. Walker
Publication date: 16 December 2019
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1609.00670
Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10) Direct numerical methods for linear systems and matrix inversion (65F05)
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Cites Work
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- Iterative numerical methods for sampling from high dimensional Gaussian distributions
- Solving structured linear systems with large displacement rank
- Conjugate gradient type methods for unsymmetric and inconsistent systems of linear equations
- Generalized conjugate-gradient acceleration of nonsymmetrizable iterative methods
- Variational Iterative Methods for Nonsymmetric Systems of Linear Equations
- Conjugate Gradient-Like Algorithms for Solving Nonsymmetric Linear Systems
- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- s-Step Iterative Methods for (Non)Symmetric (In)Definite Linear Systems
- Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
- Solution of Sparse Indefinite Systems of Linear Equations
- The Tortoise and the Hare Restart GMRES
- On Solving Block-Structured Indefinite Linear Systems
- An iterative algorithm for solving sparse linear equations
- Convergence analysis of Krylov subspace methods
- Any Nonincreasing Convergence Curve is Possible for GMRES
- A Fast Direct Solver for Structured Linear Systems by Recursive Skeletonization
- The principle of minimized iterations in the solution of the matrix eigenvalue problem
- Methods of conjugate gradients for solving linear systems
- Information Theory
