In this paper, a new special class of splitting iterations for solving linear least squares problems in finite dimensions is defined and their main properties of strong global convergence to any problem solution are derived. The investigation results prove the new splitting iterations to be a generalization of the approximating splitting iterations for solving linear least squares problems in finite dimensions, suggesting their suitability for the robust approximate solution of such problems.
Linear stationary splitting iterations; linear least squares problems in finite dimensions; approximating splitting iterations; strong global convergence of iterations; hierarchical mathematical programming
