A computational tool designed to perform the mathematical operation of matrix multiplication on two input matrices. This functionality enables users to obtain the product of two matrices, where the number of columns in the first matrix must equal the number of rows in the second. For example, given a matrix A with dimensions m x n and a matrix B with dimensions n x p, the operation yields a resultant matrix C with dimensions m x p.
The utility of such a tool lies in its ability to efficiently execute matrix multiplication, a process that can be computationally intensive and error-prone when performed manually, particularly with large matrices. This capability is invaluable in diverse fields like computer graphics, data analysis, and engineering simulations, where manipulating matrices is commonplace. Furthermore, the automation reduces the time and resources required for these calculations, allowing professionals to focus on higher-level tasks. Historically, the development of matrix algebra and the subsequent tools to manipulate them have been central to advancing many computational sciences.