An interpretive program for matrix arithmetic
F. H. Branin, Lisa Hall, J. Suez, R. M. Carlitz, T. C. Chen · IBM Systems Journal · 1965
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.