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pro vyhledávání: '"Ghomari, M. El"'
In the present paper, we propose a block variant of the extended Hessenberg process for computing approximations of matrix functions and other problems producing large-scale matrices. Applications to the computation of a matrix function such as f(A)V
Externí odkaz:
http://arxiv.org/abs/2401.03330
The numerical computation of matrix functions such as $f(A)V$, where $A$ is an $n\times n$ large and sparse square matrix, $V$ is an $n \times p$ block with $p\ll n$ and $f$ is a nonlinear matrix function, arises in various applications such as netwo
Externí odkaz:
http://arxiv.org/abs/2004.00059
Publikováno v:
Numerical Algorithms; Jan2023, Vol. 92 Issue 1, p5-34, 30p
Publikováno v:
Journal of Scientific Computing; May2022, Vol. 91 Issue 2, p1-23, 23p
The need to compute the trace of a large matrix that is not explicitly known, such as the matrix exp(A), where A is a large symmetric matrix, arises in various applications including in network analysis. The global Lanczos method is a block method th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______386::4ea107b445b1033eb0a3755724286f94
http://epub.oeaw.ac.at/?arp=buecher/Organisationseinheiten/_id105092_/ETNA/etna_Vol_50/pp144-163.pdf
http://epub.oeaw.ac.at/?arp=buecher/Organisationseinheiten/_id105092_/ETNA/etna_Vol_50/pp144-163.pdf