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New iterative criterion for H-matrices and its application on neural network system

Feng Wang


For many applications, it is very useful to know whether a matrix is an H-matrix or not. Recently, some iterative algorithms have been proposed for identifying H-matrices. In this paper, we present a new convergent method for H-matrices, which needs fewer iterations than the earlier ones, and its application on neural network system is given. A numerical example is given to illustrate relative merit.


H-matrices, neural network system, diagonally dominant matrix, irreducible.

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