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From 9:00 AM - 12:00 PM CDT on Saturday, June 6th, ni.com will be undergoing system upgrades that may result in temporary service interruption.
We appreciate your patience as we improve our online experience.
Performs the LU factorization of a matrix.
A real matrix.
This input accepts a 2D array of double-precision, floating point numbers or 2D array of complex double-precision, floating point numbers.
What Does the Node Return if Matrix A Is a Singular Matrix?
For a singular matrix, the node completes the factorization and returns a warning, and there is at least one zero at the diagonal of U.
Default: Empty array
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
A lower triangular matrix with ones on the diagonal.
An upper triangular matrix.
A permutation 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.
This node factors an m × n matrix A into the following types of matrices so that PA = LU:
The following equation illustrates one useful property of LU factorization when A is a square matrix:
where det(A) is the determinant 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