A x B VI

Owning Palette: Sparse Linear Algebra VIs

Requires: Multicore Analysis and Sparse Matrix Toolkit

Computes the multiplication of two sparse matrices, a sparse matrix and a dense matrix, or a sparse matrix and a vector.

Details  Example

Sparse x Sparse (DBL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Sparse (SGL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Sparse (CDB)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Sparse (CSG)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Dense (DBL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Dense (SGL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Dense (CDB)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Dense (CSG)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Dense x Sparse (DBL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Dense x Sparse (SGL)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Dense x Sparse (CDB)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Dense x Sparse (CSG)

	A specifies the first matrix. The number of columns in A must match the number of rows in B.
	B specifies the second matrix. The number of rows in B must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x B returns the matrix multiplication result of A and B.
	error out contains error information. This output provides standard error out functionality.

Sparse x Vector (DBL)

	A specifies a matrix. The number of columns in A must match the number of elements in Vector.
	Vector specifies a vector. The number of elements in Vector must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x Vector returns the matrix multiplication result of A and Vector.
	error out contains error information. This output provides standard error out functionality.

Sparse x Vector (SGL)

	A specifies a matrix. The number of columns in A must match the number of elements in Vector.
	Vector specifies a vector. The number of elements in Vector must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x Vector returns the matrix multiplication result of A and Vector.
	error out contains error information. This output provides standard error out functionality.

Sparse x Vector (CDB)

	A specifies a matrix. The number of columns in A must match the number of elements in Vector.
	Vector specifies a vector. The number of elements in Vector must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x Vector returns the matrix multiplication result of A and Vector.
	error out contains error information. This output provides standard error out functionality.

Sparse x Vector (CSG)

	A specifies a matrix. The number of columns in A must match the number of elements in Vector.
	Vector specifies a vector. The number of elements in Vector must match the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	A x Vector returns the matrix multiplication result of A and Vector.
	error out contains error information. This output provides standard error out functionality.

Vector x Sparse (DBL)

	Vector specifies a vector. The number of elements in Vector must match the number of rows in A.
	A specifies a matrix. The number of rows in A must match the number of elements in Vector.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	Vector x A returns the matrix multiplication result of Vector and A.
	error out contains error information. This output provides standard error out functionality.

Vector x Sparse (SGL)

	Vector specifies a vector. The number of elements in Vector must match the number of rows in A.
	A specifies a matrix. The number of rows in A must match the number of elements in Vector.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	Vector x A returns the matrix multiplication result of Vector and A.
	error out contains error information. This output provides standard error out functionality.

Vector x Sparse (CDB)

	Vector specifies a vector. The number of elements in Vector must match the number of rows in A.
	A specifies a matrix. The number of rows in A must match the number of elements in Vector.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	Vector x A returns the matrix multiplication result of Vector and A.
	error out contains error information. This output provides standard error out functionality.

Vector x Sparse (CSG)

	Vector specifies a vector. The number of elements in Vector must match the number of rows in A.
	A specifies a matrix. The number of rows in A must match the number of elements in Vector.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	Vector x A returns the matrix multiplication result of Vector and A.
	error out contains error information. This output provides standard error out functionality.

A x B Details

The following table lists the support characteristics of this VI.

Supported on RT targets	Yes
Suitable for bounded execution times on RT	Yes (with exceptions). The following instances are exceptions: Sparse x Sparse (DBL) Sparse x Sparse (SGL) Sparse x Sparse (CDB) Sparse x Sparse (CSG)

Example

Refer to the Compare Dense and Sparse A x B VI in the labview\examples\Multicore Analysis and Sparse Matrix\Sparse Matrix directory for an example of using the A x B VI.