Neural Comput - A novel iterative method for computing generalized inverse.

Tópicos

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{ algorithm(1844) comput(1787) effici(935) }
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{ network(2748) neural(1063) input(814) }
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{ method(2212) result(1239) propos(1039) }
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Resumo

In this letter, we propose a novel iterative method for computing generalized inverse, based on a novel KKT formulation. The proposed iterative algorithm requires making four matrix and vector multiplications at each iteration and thus has low computational complexity. The proposed method is proved to be globally convergent without any condition. Furthermore, for fast computing generalized inverse, we present an acceleration scheme based on the proposed iterative method. The global convergence of the proposed acceleration algorithm is also proved. Finally, the effectiveness of the proposed iterative algorithm is evaluated numerically.

Resumo Limpo

letter propos novel iter method comput general invers base novel kkt formul propos iter algorithm requir make four matrix vector multipl iter thus low comput complex propos method prove global converg without condit furthermor fast comput general invers present acceler scheme base propos iter method global converg propos acceler algorithm also prove final effect propos iter algorithm evalu numer

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