Stochastic Matrices and Lp Norms : New Algorithms for Solving Ill-conditioned Linear Systems of Equations (original) (raw)
Related papers
ROBUST APPROXIMATE INVERSE PRECONDITIONING FOR THE CONJUGATE GRADIENT METHOD
Siam Journal on Scientific Computing, 2001
2020
On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems
Open Engineering, 2019
Pseudoinverse preconditioners and iterative methods for large dense linear least-squares problems
Approximate inverse preconditioner by computing approximate solution of Sylvester equation
Applied Mathematics and Computation, 2005
Ssai: A Symmetric Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method
2019
Block approximate inverse preconditioners for sparse nonsymmetric linear systems
Electronic Transactions on Numerical Analysis
2015
Restrictively preconditioned conjugate gradient methods for systems of linear equations
The right–left preconditioning technique for the solution of the large matrix equation AXB = C
International Journal of Computer Mathematics, 2015
The influence of a matrix condition number on iterative methods' convergence
Numerical Linear Algebra with Applications, 2017
Sparse Approximate-Inverse Preconditioners Using Norm-Minimization Techniques
SIAM Journal on Scientific Computing, 1998
On Updating Preconditioners for the Iterative Solution of Linear Systems
On approximate-inverse preconditioners
1995
Approximate Inverse Preconditioners via Sparse-Sparse Iterations
SIAM Journal on Scientific Computing, 1998
Explicit approximate inverse preconditioning techniques
Archives of Computational Methods in Engineering, 2002
Preconditioner updates for solving sequences of linear systems in matrix-free environment
Miroslav Tuma, Jurjen Duintjer Tebbens
2010
Electronic Transactions on Numerical Analysis, 2014
A stochastic procedure to solve linear ill-posed problems
Communications in Statistics - Theory and Methods, 2016
Parallel and Systolic Solution of Normalized Explicit Approximate Inverse Preconditioning
The Journal of Supercomputing, 2000
A new iterative refinement of the solution of ill-conditioned linear system of equations
International Journal of Computer Mathematics, 2011
Additive Preconditioning for Matrix Computations
2008
A preconditioned Krylov subspace method for the solution of least squares problems
1994
The block Lanczos algorithm for linear ill-posed problems
Calcolo, 2016
Parallel preconditioned conjugate gradient square method based on normalized approximate inverses
Scientific Programming, 2005
A note on adaptivity in factorized approximate inverse preconditioning
Analele Universitatii "Ovidius" Constanta - Seria Matematica, 2020
The update of sequences of some incomplete decompositions matrices for preconditioning
On Least-Squares Approximate Inverse-Based Preconditioners
Numerical Mathematics and Advanced Applications, 2008
On the performance of parallel normalized explicit preconditioned conjugate gradient type methods
Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, 2006
Computational Optimization and Applications, 2015
On preconditioning and penalized matrices
Numerical Linear Algebra with Applications, 1999
Revista De La Facultad De Ingenieria Universidad Central De Venezuela, 2012
SIAM Journal on Matrix Analysis and Applications, 2001