Computes the norm of a matrix.
A square or rectangular matrix.
This input accepts a 2D array of double-precision, floating point numbers or 2D array of complex double-precision, floating point numbers.
Type of norm that this node uses for the computation.
Name | Value | Description |
---|---|---|
2-norm | 0 | $\Vert {A\Vert}_{2}$ is the largest singular value of the input matrix. |
1-norm | 1 | ${\Vert A\Vert}_{1}$ is the largest absolute column sum of the input matrix. |
F-norm | 2 | ${\Vert A\Vert}_{f}$ is equal to $\sqrt{{\displaystyle \mathrm{\Sigma}}\text{diag}\left({A}^{T}A\right)}$ where $\text{diag}\left({A}^{T}A\right)$ means the diagonal elements of matrix $\left({A}^{T}A\right)$ and ${A}^{T}$ is the transpose of $A$. |
Inf-norm | 3 | ${\Vert A\Vert}_{\infty}$ is the largest absolute row sum of the input matrix. |
Default: 2-norm
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
The norm of the input matrix.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application