Eigenvalues
This block computes the eigenvalues and the eigenvectors of a square input matrix U. The output is a vector containing the eigenvalues. Optionally, the outputs could be a diagonal matrix composed of the eigenvalues and a matrix composed of the eingenvectors represented by its columns.
Library
Activate/MatrixOperations
Description
The Eigenvalues block computes the eigenvalues and the eigenvectors of a square input matrix U.
By default, the block outputs the eigenvalues in a vector form; if the input is a M-by-M matrix the output is a M-by-1 vector.
If the output of the eigenvector parameter is turned on, the block outputs two matrices: the first output is an M-by-M diagonal matrix composed of the eigenvalues, and the second is an M-by-M matrix composed of the eigenvectors; the eigenvectors are represented by the columns of the matrix.
Parameters
| Name | Label | Description | Data Type | Valid Values |
|---|---|---|---|---|
typ | Input datatype | It indicates the input data type. It can be: double, complex or inherit. | String | 'double' |
decomptyp | Output the eigenvector | If selected, the block computes both eigenvalues and eigenvectors, otherwise only the eigenvalues are computed. | Number | 0 |
externalActivation | External activation | Specifies whether the block receives an external activation or inherits its activation through its regular input ports. When External Activation is selected, an additional activation port is added to the block. By default, external activation is not selected. | Number | 0 |
Ports
| Name | Type | Description | IO Type | Number |
|---|---|---|---|---|
Port 1 | explicit | input | 1 | |
value | explicit | output | 1 | |
Port 3 | explicit | output | decomptyp | |
Port 4 | activation | input | externalActivation |
Advanced Properties
| Name | Value | Description |
|---|---|---|
always active | no | |
direct-feedthrough | yes | |
zero-crossing | no | |
mode | no | |
continuous-time state | no | |
discrete-time state | no |