Norm-Constrained Least-Squares Solutions to the Matrix Equation A X B = C

Abstract

An iterative method to compute the least-squares solutions of the matrix $AXB=C$ over the norm inequality constraint is proposed. For this method, without the error of calculation, a desired solution can be obtained with finitely iterative step. Numerical experiments are performed to illustrate the efficiency and real application of the algorithm.