Matrix analysis
An improved Newton interaction for the generalized inverse of a Matrix, with applications
SIAM Journal on Scientific and Statistical Computing
Successive matrix squaring algorithm for computing the Drazin inverse
Applied Mathematics and Computation
Successive matrix squaring algorithm for parallel computing the weighted generalized inverseA+MN
Applied Mathematics and Computation
The Mathematica Book
A rank reduced matrix method in extreme learning machine
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
A third order iterative method for A†
International Journal of Computing Science and Mathematics
On the computation of weighted Moore-Penrose inverse using a high-order matrix method
Computers & Mathematics with Applications
A novel iterative method for computing generalized inverse
Neural Computation
Hi-index | 7.29 |
An iterative algorithm for estimating the Moore-Penrose generalized inverse is developed. The main motive for the construction of the algorithm is simultaneous usage of Penrose equations (2) and (4). Convergence properties of the introduced method as well as their first-order and second-order error terms are considered. Numerical experiment is also presented.