Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid
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Publication:4560710
DOI10.1137/18M1168182zbMath1403.62135arXiv1802.00595OpenAlexW2963300413MaRDI QIDQ4560710
Karsten Kahl, Matthias Rottmann
Publication date: 7 December 2018
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1802.00595
Ridge regression; shrinkage estimators (Lasso) (62J07) Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Numerical optimization and variational techniques (65K10) Iterative numerical methods for linear systems (65F10) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22) Preconditioners for iterative methods (65F08)
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Numerical algorithms for spline interpolation on space of probability density functions, Coarsening in algebraic multigrid using Gaussian processes
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Cites Work
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- An aggregation-based algebraic multigrid method
- Adaptive reduction-based multigrid for nearly singular and highly disordered physical systems
- An efficient multigrid method for graph Laplacian systems
- Algebraic multigrid (AMG): Experiences and comparisons
- Algebraic distance for anisotropic diffusion problems: multilevel results
- Algebraic multigrid theory: The symmetric case
- Least angle regression. (With discussion)
- A new perspective on strength measures in algebraic multigrid
- Operator-based interpolation for bootstrap algebraic multigrid
- Bootstrap AMG
- Lean Algebraic Multigrid (LAMG): Fast Graph Laplacian Linear Solver
- Compatible Relaxation and Coarsening in Algebraic Multigrid
- Semi-optimal bases for linear dependencies
- Geometric Multigrid for the Tight-Binding Hamiltonian of Graphene
- Adaptive Smoothed Aggregation ($\alpha$SA)
- Relaxation‐corrected bootstrap algebraic multigrid (rBAMG)
- Adaptive Algebraic Multigrid
- Optimal Interpolation and Compatible Relaxation in Classical Algebraic Multigrid
- The elements of statistical learning. Data mining, inference, and prediction
