By combining our weakly randomized preconditioning with aggrega-tion and other known and novel techniques, we facilitate the solution of a homogeneous linear system of equations. We demonstrate the power of this approach and show some extensions. Key words: Linear system of equations, Null space, Weakly random additive preprocessing ∗Supportedby PSC CUNY Awards 68291–0037 and 69330–0038. Some results of this paper have been presented at the International Conferences on the Matrix Methods and Operato
Abstract. A restricted additive Schwarz (RAS) preconditioning technique was introduced re-cently for...
Solution of homogeneous linear systems of equations is a basic operation of matrix computa-tions. Th...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...
Seeking a basis for the null space of a rectangular and possibly rank deficient and ill con-ditioned...
AbstractSeeking a basis for the null space of a rectangular and possibly rank deficient and ill cond...
AbstractOur randomized preprocessing enables pivoting-free and orthogonalization-free solution of ho...
Our weakly random additive preconditioners facilitate the solution of linear systems of equa-tions a...
Effective preconditioners are known for some important but special classes of matrices. In contrast ...
Seeking a basis for the null space of a rectangular and possibly rank deficient and ill condi-tioned...
Our randomized preprocessing of a matrix by means of augmentation counters its degeneracy and ill co...
With a high probablilty our randomized augmentation of a matrix eliminates its rank defi-ciency and ...
AbstractSolution of homogeneous linear systems of equations is a basic operation of matrix computati...
Versus the customary preconditioners, our weakly random ones are generated more readily and for a mu...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
AbstractOur randomized additive preconditioners are readily available and regularly facilitate the s...
Abstract. A restricted additive Schwarz (RAS) preconditioning technique was introduced re-cently for...
Solution of homogeneous linear systems of equations is a basic operation of matrix computa-tions. Th...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...
Seeking a basis for the null space of a rectangular and possibly rank deficient and ill con-ditioned...
AbstractSeeking a basis for the null space of a rectangular and possibly rank deficient and ill cond...
AbstractOur randomized preprocessing enables pivoting-free and orthogonalization-free solution of ho...
Our weakly random additive preconditioners facilitate the solution of linear systems of equa-tions a...
Effective preconditioners are known for some important but special classes of matrices. In contrast ...
Seeking a basis for the null space of a rectangular and possibly rank deficient and ill condi-tioned...
Our randomized preprocessing of a matrix by means of augmentation counters its degeneracy and ill co...
With a high probablilty our randomized augmentation of a matrix eliminates its rank defi-ciency and ...
AbstractSolution of homogeneous linear systems of equations is a basic operation of matrix computati...
Versus the customary preconditioners, our weakly random ones are generated more readily and for a mu...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
AbstractOur randomized additive preconditioners are readily available and regularly facilitate the s...
Abstract. A restricted additive Schwarz (RAS) preconditioning technique was introduced re-cently for...
Solution of homogeneous linear systems of equations is a basic operation of matrix computa-tions. Th...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...