Determinant (G Dataflow)

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Last Modified: June 25, 2019

Computes the determinant of a matrix.

matrix type

Type of the input matrix.

Specifying the matrix type allows this node to execute more quickly by avoiding unnecessary computations, which could introduce numerical inaccuracy.

Name	Description
General	The input matrix is a matrix that you cannot describe with one of the other categories.
Positive definite	The input matrix is positive-definite.
Lower triangular	The input matrix is lower triangular.
Upper triangular	The input matrix is upper triangular.

Default: General

matrix

A square matrix.

This input accepts a 2D array of double-precision, floating point numbers or 2D array of complex double-precision, floating point numbers.

error in

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.

error in does not contain an error	error in contains an error

If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

determinant

The determinant of the input matrix.

The determinant of a singular matrix is zero. This is a valid result and is not an error.

error out

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

error in does not contain an error	error in contains an error

If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Algorithm for Calculating the Determinant

Let A be a square matrix that represents the input matrix, and let L and U represent the lower and upper triangular matrices, respectively, of A such that

A = LU

where the main diagonal elements of the lower triangular matrix L are arbitrarily set to one. This node finds the output determinant of A by the product of the main diagonal elements of the upper triangular matrix U.

| A | = \prod_{i = 0}^{n - 1} u_{i i}

where |A| is the output determinant of A and n is the dimension of A.

Where This Node Can Run:

Desktop OS: Windows

FPGA: Not supported

Web Server: Not supported in VIs that run in a web application

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