1. Principles of eigenvalue calculation

1.1 Eigenvalue calculation applications

A linear application $L$ of a vector space E of dimension n in itself is characterized by a matrix A. This depends on the reference basis $B$ in the vector space, which is denoted by $A = M_{B} (L)$ ...

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Principles of eigenvalue calculation

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QR algorithm for the non-symmetrical case

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References

(1) - ANDERSON (E.), BAI (Z.), BISCHOF (C.), BLACKFORD (L.S.), DEMMEL (J.), DONGARRA (J.J.), DU CROZ (J.), HAMMARLING (S.), GREENBAUM (A.), McKENNEY (A.), SORENSEN (D.) - LAPACK Users' guide (3e éd.). - Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (1999).

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