LabVIEW Multicore Analysis and Sparse Matrix Toolkit API Reference

Generalized Eigenvalues and Vectors VI

  • Updated2023-02-21
  • 5 minute(s) read

Generalized Eigenvalues and Vectors VI

Owning Palette: Linear Algebra VIs

Requires: Multicore Analysis and Sparse Matrix Toolkit

Computes the generalized eigenvalue and eigenvectors of a pair of matrices A and B.

Wire data to the A and B inputs to determine the polymorphic instance to use or manually select the instance.

Details  

Generalized Eigenvalues and Vectors (DBL)

A specifies the first square matrix. A and B must be the same size.
B specifies the second square matrix. A and B must be the same size.
output option specifies whether this VI computes eigenvectors and/or eigenvalues.

0Eigenvalues—Specifies to compute eigenvalues only.
1Eigenvalues & Vectors (default)—Specifies to compute eigenvalues and eigenvectors.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Eigenvalues returns the generalized eigenvalues of matrix pair (A,B).
Eigenvectors returns the complex matrix that contains the generalized right eigenvectors in its columns. Eigenvectors is empty if output option is Eigenvalues.
error out contains error information. This output provides standard error out functionality.

Generalized Eigenvalues and Vectors (SGL)

A specifies the first square matrix. A and B must be the same size.
B specifies the second square matrix. A and B must be the same size.
output option specifies whether this VI computes eigenvectors and/or eigenvalues.

0Eigenvalues—Specifies to compute eigenvalues only.
1Eigenvalues & Vectors (default)—Specifies to compute eigenvalues and eigenvectors.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Eigenvalues returns the generalized eigenvalues of matrix pair (A,B).
Eigenvectors returns the complex matrix that contains the generalized right eigenvectors in its columns. Eigenvectors is empty if output option is Eigenvalues.
error out contains error information. This output provides standard error out functionality.

Generalized Eigenvalues and Vectors (CDB)

A specifies the first square matrix. A and B must be the same size.
B specifies the second square matrix. A and B must be the same size.
output option specifies whether this VI computes eigenvectors and/or eigenvalues.

0Eigenvalues—Specifies to compute eigenvalues only.
1Eigenvalues & Vectors (default)—Specifies to compute eigenvalues and eigenvectors.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Eigenvalues returns the generalized eigenvalues of matrix pair (A,B).
Eigenvectors returns the complex matrix that contains the generalized right eigenvectors in its columns. Eigenvectors is empty if output option is Eigenvalues.
error out contains error information. This output provides standard error out functionality.

Generalized Eigenvalues and Vectors (CSG)

A specifies the first square matrix. A and B must be the same size.
B specifies the second square matrix. A and B must be the same size.
output option specifies whether this VI computes eigenvectors and/or eigenvalues.

0Eigenvalues—Specifies to compute eigenvalues only.
1Eigenvalues & Vectors (default)—Specifies to compute eigenvalues and eigenvectors.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Eigenvalues returns the generalized eigenvalues of matrix pair (A,B).
Eigenvectors returns the complex matrix that contains the generalized right eigenvectors in its columns. Eigenvectors is empty if output option is Eigenvalues.
error out contains error information. This output provides standard error out functionality.

Generalized Eigenvalues and Vectors Details

The following table lists the support characteristics of this VI.

Supported on RT targets Yes
Suitable for bounded execution times on RT Yes

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