A stationary iterative pseudoinverse algorithm
If the matrix of a linear least squares problem is rank-deficient, then many methods for solving this problem fail to produce the unique solution. In this paper an iterative scheme is described that overcomes this difficulty for the case of stationary methods. The algorithm combines two stationary methods: the first one produces any least squares solution, the second one produces the minimum norm solution of a consistent system.
scientific article; zbMATH DE number 1206833
scientific article