A Self-Learning Algebraic Multigrid Method for Extremal Singular Triplets and Eigenpairs

DOI10.1137/110823316zbMath1253.65052arXiv1102.0919OpenAlexW2033840545MaRDI QIDQ3165420

Hans De Sterck

Publication date: 26 October 2012

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1102.0919

zbMATH Keywords

algorithmnumerical examplessingular value decompositioneigenvectorssingular vectorsmultilevel methodself-learning algebraic multigrid methodsymmetric positive definite eigenvalue problems

Mathematics Subject Classification ID

Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical solutions to overdetermined systems, pseudoinverses (65F20)

Related Items (1)

Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships

Uses Software

• PROPACK
• PRIMME
• Anasazi

This page was built for publication: A Self-Learning Algebraic Multigrid Method for Extremal Singular Triplets and Eigenpairs