Work

Extended block Hessenberg process for the evaluation of matrix functions

Year: 2024

Type: preprint

Abstract: 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, where A is an nxn large sparse matrix, V is an nxp block with p<

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2401.03330

Authors: Bentbib, A. H., Ghomari, M. EL, Jbilou, K., Sadek, EL. M.

Institutions: Cadi Ayyad University, Mohammed V University, Université du littoral côte d'opale, Université Mohammed VI Polytechnique

Language: English

Topic: Matrix Theory and Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4390723462

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