Modified block preconditioner for generalized saddle point matrices with highly singular(1,1) blocks
From MaRDI portal
Publication:5205785
DOI10.1080/03081087.2018.1500519zbMath1427.65039OpenAlexW2885899779WikidataQ114641440 ScholiaQ114641440MaRDI QIDQ5205785
Publication date: 16 December 2019
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081087.2018.1500519
preconditionersKrylov subspace methodsminimal polynomialsaddle point matricesgeneralized saddle point matrices
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Iterative numerical methods for linear systems (65F10) Preconditioners for iterative methods (65F08)
Related Items
A new preconditioner of the tensor splitting iterative method for solving multi-linear systems with \(\mathcal{M}\)-tensors, A general preconditioner accelerated SOR-type iterative method for multi-linear systems with \(\mathcal{Z}\)-tensors
Cites Work
- Unnamed Item
- Preconditioners for regularized saddle point problems with an application for heterogeneous Darcy flow problems
- Preconditioners for saddle point linear systems with highly singular \((1,1)\) blocks
- New block triangular preconditioners for saddle point linear systems with highly singular \((1,1)\) blocks
- Inertia characteristics of self-adjoint matrix polynomials
- A note on spectrum analysis of augmentation block preconditioned generalized saddle point matrices
- A new preconditioner for generalized saddle point matrices with highly singular(1,1) blocks
- Preconditioners for the discretized time-harmonic Maxwell equations in mixed form
- Numerical solution of saddle point problems
- Preconditioners for Generalized Saddle-Point Problems
- A Preconditioner for Linear Systems Arising From Interior Point Optimization Methods
- Augmentation block preconditioners for saddle point-type matrices with singular (1, 1) blocks
- On optimization techniques for solving nonlinear inverse problems
- A Preconditioner for Generalized Saddle Point Problems
- Iterative Krylov Methods for Large Linear Systems
- Parallel numerical solution of the time‐harmonic Maxwell equations in mixed form
