Abstract
In this paper, we present an inverse iteration algorithm, to find the H-spectral radius and the associated positive eigenvector of a nonnegative weakly irreducible tensor, which always preserve the positivity of approximate eigenvectors. The local quadratical convergence of the proposed algorithm is established based on a basic result of the Newton’s method for solving nonlinear equations. Some numerical examples illustrate the efficiency of the proposed algorithm.
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