Trace VI

Owning Palette: Sparse Linear Algebra VIs

Requires: Multicore Analysis and Sparse Matrix Toolkit

Calculates the trace of a sparse matrix.

Wire data to the Sparse Matrix input to determine the polymorphic instance to use or manually select the instance.

Details  

Trace (DBL)

	Sparse Matrix specifies the input sparse matrix. Sparse Matrix must not be empty.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	trace returns the sum of the main diagonal in Sparse Matrix. If any error occurs, trace returns NaN.
	error out contains error information. This output provides standard error out functionality.

Trace (SGL)

	Sparse Matrix specifies the input sparse matrix. Sparse Matrix must not be empty.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	trace returns the sum of the main diagonal in Sparse Matrix. If any error occurs, trace returns NaN.
	error out contains error information. This output provides standard error out functionality.

Trace (CDB)

	Sparse Matrix specifies the input sparse matrix. Sparse Matrix must not be empty.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	trace returns the sum of the main diagonal in Sparse Matrix. If any error occurs, trace returns NaN + NaNi.
	error out contains error information. This output provides standard error out functionality.

Trace (CSG)

	Sparse Matrix specifies the input sparse matrix. Sparse Matrix must not be empty.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	trace returns the sum of the main diagonal in Sparse Matrix. If any error occurs, trace returns NaN + NaNi.
	error out contains error information. This output provides standard error out functionality.

Trace Details

The following table lists the support characteristics of this VI.

Supported on RT targets	Yes
Suitable for bounded execution times on RT	Yes