Owning Palette: Linear Algebra VIs
Requires: Full Development System
Performs the QZ decomposition of a pair of square matrices. The data types you wire to the A and B inputs determine the polymorphic instance to use.
Use the pull-down menu to select an instance of this VI.
Add to the block diagram | Find on the palette |
A is a square real matrix. | |||||||||||
B is the second square real matrix. | |||||||||||
decomposition type specifies the type of decomposition to perform.
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order specifies how to order the generalized eigenvalues, Alpha and Beta. order is available only when decomposition type is Generalized Schur. The default is No Reorder.
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Eigenvectors returns a complex matrix that contains the generalized eigenvectors in its columns. | |||||||||||
Q is an orthogonal matrix. When trans(Q) is the transpose matrix of Q, Q satisfies the following conditions:
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Z is an orthogonal matrix. When trans(Q) is the transpose matrix of Q, Z satisfies the following conditions:
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Alpha returns the numerators of the generalized eigenvalues of matrix pair (A,B). If Betai is nonzero, Alphai/Betai is a generalized eigenvalue of (A,B). | |||||||||||
Beta returns the denominators of the generalized eigenvalues of matrix pair (A,B). If Betai is nonzero, Alphai/Betai is a generalized eigenvalue of (A,B). | |||||||||||
error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster. |
A is a square complex matrix. | |||||||||||
B is the second square complex matrix. | |||||||||||
decomposition type specifies the type of decomposition to perform.
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order specifies how to order the generalized eigenvalues, Alpha and Beta. order is available only when decomposition type is Generalized Schur. The default is No Reorder.
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Eigenvectors returns a complex matrix that contains the generalized eigenvectors in its columns. | |||||||||||
Q is a unitary matrix. When trans(Q) is the conjugate transpose matrix of Q, Q satisfies the following conditions:
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Z is a unitary matrix. When trans(Q) is the conjugate transpose matrix of Q, Z satisfies the following conditions:
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Alpha returns the numerators of the generalized eigenvalues of matrix pair (A,B). If Betai is nonzero, Alphai/Betai is a generalized eigenvalue of (A,B). | |||||||||||
Beta returns the denominators of the generalized eigenvalues of matrix pair (A,B). If Betai is nonzero, Alphai/Betai is a generalized eigenvalue of (A,B). | |||||||||||
error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster. |
The following expressions define the QZ decomposition of a matrix pair (A, B).
A = QHZH
B = QTZH
where A and B are n-by-n square matrices, ZH is the conjugate transpose of matrix Z, T is an n-by-n upper triangular matrix, and H is an n-by-n upper Hessenberg matrix if the decomposition type is Generalized Hessenberg or a quasi-triangular matrix with 1-by-1 and 2-by-2 diagonal blocks if the decomposition type is Generalized Schur. Refer to the Hessenberg Decomposition VI for information about Hessenberg matrices.
If B is singular, matrix pair (A, B) has an infinite generalized eigenvalue, in other words, Betai is zero. If A–B is singular for all and , matrix pair (A, B) is singular and has an indeterminate generalized eigenvalue, in other words, both Betai and Alphai are zeros. This VI cannot order the generalized eigenvalues if there are indeterminate generalized eigenvalues.