Citation key |
ABBCS-A-Stable-Polynomial-Time-Algorithm-For-The-Eigenpair-Problem |
Author |
Diego Armentano and Carlos Beltrán and Peter Bürgisser and Felipe Cucker and Michael Shub |
Pages |
1375–1437 |
Year |
2018 |
DOI |
10.4171/JEMS/789 |
Journal |
Journal of the European Mathematical Society (JEMS) |
Volume |
20 |
Number |
6 |
Month |
04 |
Note |
To appear in Journal of the European Mathematical Society. |
Abstract |
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. |