The estimation problem in the linear model with prior information on a subvector of parameters is studied. The recursive least squares algorithm is extended to the case of singular matrices of ...

An Elementary Proof That Every Singular Matrix Is a Product of Idempotent Matrices The American Mathematical Monthly , pp. 641-645 (5 pages) Published By: Taylor & Francis, Ltd.

A singular matrix A is passed to the INV function, which would, by itself, generate an error message and issue a pause in the module. This module pushes three RESUME statements, so that the first ...

If the matrix H is found to be singular in the first step, a generalized inverse is computed. Depending on the G4= option, either a generalized inverse satisfying all four Moore-Penrose conditions is ...