TD_MATRIXMULTIPLY

There is a need in data science to be able to create a new data series that is the result of performing a point-wise mathematical operation against two matrices having the same number of wavelets and having the same number of data-points within a same wavelet-point from the two matrices.. C = A * B is the matrix multiplication (Product) of matrix A and B. If A is an M-by-K and B is K-by-N matrix, then C is an M-by-N matrix and is defined by, C(m,n) = ∑_{k=1 to n} A(m,k)*B(k,n). This definition says that C (m, n) is the inner product of the m-th row of A with n-th column of B. The number of columns of A must equal the number of rows of B. Matrix multiplication is not universally commutative for non-scalar inputs. That is, A * B is typically not equal to B *A.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Input
   This function takes two equally sized data matrices as inputs, performs the specified mathematical operation - add, subtract, multiply, divide - on a sample point by sample point basis, producing a result matrix, which is the result of performing the mathematical operation.
3. Type: Table
   Input2
   secondary matrix of equal size to be operated on

Output ports

1. Type: Table
   output of TD_MATRIXMULTIPLY
   output of TD_MATRIXMULTIPLY