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Matrix Norm (G Dataflow)

Last Modified: January 9, 2017

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.


norm type

Type of norm that this node uses for the computation.

Name Value Description
2-norm 0 A 2 is the largest singular value of the input matrix.
1-norm 1 A 1 is the largest absolute column sum of the input matrix.
F-norm 2 A f is equal to Σ diag ( A T A ) where diag ( A T A ) means the diagonal elements of matrix ( A T A ) and A T is the transpose of A .
Inf-norm 3 A is the largest absolute row sum of the input matrix.

Default: 2-norm


error in

Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.

Default: No error



The norm of the input matrix.


error out

Error information. The node produces this output according to standard error behavior.

Where This Node Can Run:

Desktop OS: Windows

FPGA: Not supported

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