An interpretive program for matrix arithmetic

The experimental matrix computation program described in this paper embodies dynamic memory allocation of all matrices, and enables the user to specify most matrix operations by using single-address pseudo instructions. Several different matrix types are allowed, and the most common matrix operations (addition, subtraction, right- and left-hand multiplication, transposition, inversion, solution of linear equations and eigenvalue/eigenvector computations) have been implemnented. If desired, additional matrix types and/or matrix operations may be incorporated.