Computing reducing subspaces of a large linear matrix pencil
DOI10.1515/156939806777320359zbMath1134.65031OpenAlexW2061800930MaRDI QIDQ3419750
Yuri M. Nechepurenko, Grace Hechme
Publication date: 7 February 2007
Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/156939806777320359
stabilitycomputational complexitysemi-inner producteigenvaluesviscous incompressible fluidmatrix pencilreducing subspaceEuclidean inner productdeflation procedureJacobi-Davidson algorithmJacobi-Davidson reduced basis method
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Navier-Stokes equations for incompressible viscous fluids (76D05) Numerical computation of matrix norms, conditioning, scaling (65F35) Matrix pencils (15A22) Stability and instability of nonparallel flows in hydrodynamic stability (76E09)
Uses Software
Cites Work
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- Finding leading modes of a viscous free surface flow: An asymmetric generalized eigenproblem
- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- Jacobi--Davidson Style QR and QZ Algorithms for the Reduction of Matrix Pencils
- Eigenvalues of Block Matrices Arising from Problems in Fluid Mechanics
- A Jacobi–Davidson Iteration Method for Linear Eigenvalue Problems
- Numerical spectral analysis of hydrodynamic equations
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