A stable, polynomial-time algorithm for the eigenpair problem
Journal of the European Mathematical Society, Tome 20 (2018) no. 6, pp. 1375-1437.

Voir la notice de l'article provenant de la source EMS Press

We describe algorithms for computing eigenpairs (eigenvalue-eigenvector pairs) of a complex n×n matrix A. These algorithms are numerically stable, strongly accurate, and theoretically efficient (i.e., polynomial-time). We do not believe they outperform in practice the algorithms currently used for this computational problem. The merit of our paper is to give a positive answer to a long-standing open problem in numerical linear algebra.
DOI : 10.4171/jems/789
Classification : 65-XX, 15-XX
Mots-clés : Eigenvalue computations, homotopy methods
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Diego Armentano; Carlos Beltrán; Peter Bürgisser; Felipe Cucker; Michael Shub. A stable, polynomial-time algorithm for the eigenpair problem. Journal of the European Mathematical Society, Tome 20 (2018) no. 6, pp. 1375-1437. doi : 10.4171/jems/789. https://geodesic-test.mathdoc.fr/articles/10.4171/jems/789/

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