Matrix-Matrix Product (Triangle) (G Dataflow)

Position of op(A) in the calculation.

Default: Left

Operation this node performs on A.

Default: Direct

Triangular matrix whose dimensions are greater than or equal to K × K.

This node multiplies the first K rows and the first K columns of op(A) by B.

This input accepts the following data types:

• 2D array of double-precision, floating-point numbers
• 2D array of complex double-precision, floating-point numbers

K × N matrix, if you set side to Left, or N × K matrix, if you set side to Right.

This input accepts the following data types:

• 2D array of double-precision, floating-point numbers
• 2D array of complex double-precision, floating-point numbers

Triangular matrix type of A.

Default: Upper Triangular

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

Scalar that scales op(A) * B or B * op(A), depending on the value of side.

This input accepts the following data types:

• Double-precision, floating-point numbers
• Complex double-precision, floating-point numbers

Default: The default value is 1 if alpha is a double-precision, floating-point number. The default value is 1+0i if alpha is a complex double-precision, floating-point number.

Value that determines how to use the diagonal elements of A.

Default: Non-unit

Matrix of the same dimensions as B.

If side is Left, this output returns the result of alpha * op(A) * B. If side is Right, this output returns the result of alpha * B * op(A).

This output is available only if you wire a 2D array of double-precision, floating-point numbers to A or B.

Matrix of the same dimensions as B.

If side is Left, this output returns the result of alpha * op(A) * B. If side is Right, this output returns the result of alpha * B * op(A).

This output is available only if you wire a 2D array of complex double-precision, floating-point numbers to A or B.

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.

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.