Abstract
A method is developed for calculating the Moore–Penrose generalized inverse of certain singular partitioned (tensor product) matrices in terms of the generalized inverse of matrices of lower order. Such matrices may arise, for example, from the discretization of boundary value problems with von Neumann conditions.
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