A recurrent neural network for real-time matrix inversion
Applied Mathematics and Computation
Recurrent neural networks for computing weighted Moore-Penrose inverse
Applied Mathematics and Computation
Successive matrix squaring algorithm for parallel computing the weighted generalized inverseA+MN
Applied Mathematics and Computation
The representation and approximation for the weighted Moore—Penrose inverse
Applied Mathematics and Computation
Inversion of Displacement Operators
SIAM Journal on Matrix Analysis and Applications
Iterative method for computing the Moore-Penrose inverse based on Penrose equations
Journal of Computational and Applied Mathematics
The representation and approximation for the weighted Minkowski inverse in Minkowski space
Mathematical and Computer Modelling: An International Journal
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We propose a matrix method for calculating generalized weighted Moore-Penrose inverse numerically. It is proved that the scheme is convergent with high order via theoretical analysis. Some tests are also presented to show the applicability and the superiority of the new method.