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• W2073454980 abstract "This paper introduces a novel neural network based approach for extracting the eigenvalues with the largest or smallest modulus of real skew-symmetric matrices, as well as the corresponding eigenvectors. To this end, unlike the previous neural network based methods that can be summarized by some 2 n -dimensional ordinary differential equations (ODEs), where n is the order of the given skew-symmetric matrix, our proposed approach corresponds to an ODE of order n , instead of 2 n . Hence, the scale of networks can be reduced a lot. Simulations verify the computational capability of such approach." @default.
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• W2073454980 date "2010-09-01" @default.
• W2073454980 modified "2023-09-29" @default.
• W2073454980 title "Another neural network based approach for computing eigenvalues and eigenvectors of real skew-symmetric matrices" @default.
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• W2073454980 doi "https://doi.org/10.1016/j.camwa.2010.06.020" @default.
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