Calculating the moore-penrose generalized inverse on massively parallel systems

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SUMMARY

    The generalized inverses of a matrix are defined as generalizations to the matrix inverse, so a matrix can have a generalized inverse even if the matrix is not regular or square. The authors consider the Moore-Penrose generalized matrix inverse (or the pseudoinverse), which is the oldest type of generalized matrix inverses. In, a flat neural_network was considered for the online prediction of engine states using a recursive algorithm based on a pseudoinverse partition matrix. In, two models of discrete-time Taylor-type neural_networks for the pseudoinversion of a time-varying matrix were proposed . . .

     

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