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Article Dans Une Revue Bulletin of Computational Applied Mathematics Année : 2016

Sparse approximations of matrix functions via numerical integration of ODEs

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Résumé

We consider the numerical computation of matrix functions f(X) via matrix ODE integration. The solution is modeled as an asymptotic steady state of a proper differential system. The framework we propose, allows to define flows of sparse matrices leading to sparse approximations to f(X). We discuss of this approach giving stability and approximation results in a general case. We apply our method to the factorization of matrices (LU, Cholesky) as well as the computation of the square root. Numerical illustrations are presented.
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Dates et versions

hal-03621853 , version 1 (28-03-2022)

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  • HAL Id : hal-03621853 , version 1

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Jean-Paul Chehab. Sparse approximations of matrix functions via numerical integration of ODEs. Bulletin of Computational Applied Mathematics, 2016, 4 (2), pp.95-132. ⟨hal-03621853⟩
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