Factorized Approximate Inverses with Adaptive Dropping
DOI10.1137/15M1030315zbMath1342.65104OpenAlexW2430212589MaRDI QIDQ2815689
Miroslav Rozložnik, Miroslav Tůma, Jiří Kopal
Publication date: 30 June 2016
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/15m1030315
numerical experimentscondition numberGram-Schmidt orthogonalizationcolumn pivotingincomplete factorizationapproximate inversespreconditioned iterative methodslarge and sparse systems
Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10) Direct numerical methods for linear systems and matrix inversion (65F05) Orthogonalization in numerical linear algebra (65F25) Preconditioners for iterative methods (65F08)
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- Numerical stability of orthogonalization methods with a non-standard inner product
- The effect of ordering on preconditioned conjugate gradients
- A comparative study of sparse approximate inverse preconditioners
- Experimental study of ILU preconditioners for indefinite matrices
- Preconditioning techniques for large linear systems: A survey
- Crout versions of ILU factorization with pivoting for sparse symmetric matrices
- Principal submatrices. IX: Interlacing inequalities for singular values of submatrices
- Robust Approximate Inverse Preconditioning for the Conjugate Gradient Method
- Modification and Compensation Strategies for Threshold-based Incomplete Factorizations
- ILU Preconditioners for Nonsymmetric Saddle-Point Matrices with Application to the Incompressible Navier--Stokes Equations
- The university of Florida sparse matrix collection
- Improved Balanced Incomplete Factorization
- Balanced Incomplete Factorization
- Factorized Sparse Approximate Inverse Preconditionings I. Theory
- A Robust and Efficient ILU that Incorporates the Growth of the Inverse Triangular Factors
- Orderings for Factorized Sparse Approximate Inverse Preconditioners
- Accuracy and Stability of Numerical Algorithms
- On the Relations between ILUs and Factored Approximate Inverses
- A Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method
- Multilevel Preconditioners Constructed From Inverse-Based ILUs
- NOTES ON THE SOLUTION OF ALGEBRAIC LINEAR SIMULTANEOUS EQUATIONS
- A robust ILU with pivoting based on monitoring the growth of the inverse factors
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