A new matrix inversion algorithm is described. It provides a meaningful estimate of the inverse A(-1) of a matrix A on an analog optical processor in a reduced calculation time (compared to other methods). The new nested iterative algorithm has no convergence conditions on the matrix and requires fewer operations than prior iterative neural net and other algorithms.
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Casasent et al. (1991) studied this question.
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