AbstractThe decomposition method (Adomian[1–2]) is extended to inversion of very large matrices. Numerical examples demonstrate rapidly converging approximants in a form convenient for computer computation. Analytic representations are derived for the deterministic case. Decomposition is shown to be a new method for inversion of matrices and outside the classes of direct methods and relaxation methods
AbstractMatrices represented as a sum of diagonal and semiseparable ones are considered here. These ...
AbstractIn this paper, an inversion algorithm for a banded matrix is presented. The n twisted decomp...
We report a novel approach for inversion of large random matrices in massive Multiple-Input Multiple...
AbstractThe decomposition method (Adomian[1–2]) is extended to inversion of very large matrices. Num...
AbstractThe decomposition method (G. Adomian, “Stochastic Systems,” Academic Press, New York/London,...
This self-contained monograph presents matrix algorithms and their analysis. The new technique enabl...
Abstract: An Orchestrator coordinates and controls computations at parallel and sequential computing...
AbstractWe study linear complexity inversion algorithms for diagonal plus semiseparable operator mat...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
An essentially new method for the inversion of n x n matrices, closely related to the method of comp...
Some important applicative problems require the evaluation of functions of large and sparse and/or l...
A stable numerical method is proposed for matrix inversion. The new method is accompanied by theoret...
AbstractNumerous theoretical problems have been simplified and, in many cases, unified via the theor...
With the invention of matrices came, of course, the solution of a system of the equations by the met...
AbstractThere are many matrix inversion algorithms, some being widely known and others not as widely...
AbstractMatrices represented as a sum of diagonal and semiseparable ones are considered here. These ...
AbstractIn this paper, an inversion algorithm for a banded matrix is presented. The n twisted decomp...
We report a novel approach for inversion of large random matrices in massive Multiple-Input Multiple...
AbstractThe decomposition method (Adomian[1–2]) is extended to inversion of very large matrices. Num...
AbstractThe decomposition method (G. Adomian, “Stochastic Systems,” Academic Press, New York/London,...
This self-contained monograph presents matrix algorithms and their analysis. The new technique enabl...
Abstract: An Orchestrator coordinates and controls computations at parallel and sequential computing...
AbstractWe study linear complexity inversion algorithms for diagonal plus semiseparable operator mat...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
An essentially new method for the inversion of n x n matrices, closely related to the method of comp...
Some important applicative problems require the evaluation of functions of large and sparse and/or l...
A stable numerical method is proposed for matrix inversion. The new method is accompanied by theoret...
AbstractNumerous theoretical problems have been simplified and, in many cases, unified via the theor...
With the invention of matrices came, of course, the solution of a system of the equations by the met...
AbstractThere are many matrix inversion algorithms, some being widely known and others not as widely...
AbstractMatrices represented as a sum of diagonal and semiseparable ones are considered here. These ...
AbstractIn this paper, an inversion algorithm for a banded matrix is presented. The n twisted decomp...
We report a novel approach for inversion of large random matrices in massive Multiple-Input Multiple...
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