论文信息 - Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods

Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods

A direct (noniterative) method for solving some singular systems of equations arising from finite difference approximations to partial differential equations is developed. The Moore-Penrose generalized inverse of some large tensor product matrices is expressed in terms of smaller matrices. Some techniques are given to improve computational efficiency.

John F. Dalphin | Victor Lovass-Nagy

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