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Lecture 10

Eugene E. Tyrtyshnikov
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Eugene E. Tyrtyshnikov: Russian Academy of Sciences, Institute of Numerical Mathematics

A chapter in A Brief Introduction to Numerical Analysis, 1997, pp 85-93 from Springer

Abstract: Abstract Given a dense unstructured matrix A of several hundred (thousand) order with all the eigenvalues (eigenvectors) wanted, a vehicle of choice is definitely the QR algorithm. Since the early 60s, it is used due to V. N. Kublanovskaya (Russia) and J. G. F. Francis (England). We begin with the QR iterations in the orthodox form: $$ A_0 = A \in \mathbb{C}^{n \times n} (a given matrix); $$

Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-8176-8136-4_10

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DOI: 10.1007/978-0-8176-8136-4_10

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