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QZ factorization for generalized eigenvalues
Syntax
Description
The qz function gives access to intermediate results in the computation of generalized eigenvalues.
[AA,BB,Q,Z] = qz(A,B)
for square matrices A and B, produces upper quasitriangular matrices AA and BB, and unitary matrices Q and Z such that Q*A*Z = AA, and Q*B*Z = BB. For complex matrices, AA and BB are triangular.
[AA,BB,Q,Z,V,W] = qz(A,B)
also produces matrices V and W whose columns are generalized eigenvectors.
qz(A,B,flag)
for real matrices A and B, produces one of two decompositions depending on the value of flag:
If AA is triangular, the diagonal elements of AA and BB,
are the generalized eigenvalues that satisfy
are the element-wise ratios of alpha and beta.
If AA is not triangular, it is necessary to further reduce the 2-by-2 blocks to obtain the eigenvalues of the full system.
Algorithm
For real QZ on real A and real B, eig uses the LAPACK DGGES routine. If you request the fifth output V, eig also uses DTGEVC.
For complex QZ on real or complex A and B, eig uses the LAPACK ZGGES routine. If you request the fifth output V, eig also uses ZTGEVC.
See Also
References
[1] Anderson, E., Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen, LAPACK User's Guide (http://www.netlib.org/lapack/lug/ lapack_lug.html), Third Edition, SIAM, Philadelphia, 1999.
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