Shifted and extrapolated power methods for tensor ℓ^p-eigenpairs

09/26/2019 ∙ by Stefano Cipolla, et al. ∙ 0

This work is concerned with the computation of ℓ^p-eigenvalues and eigenvectors of square tensors with d modes. In the first part we propose two possible shifted variants of the popular (higher-order) power method computation of ℓ^p-eigenpairs proving the convergence of both the schemes to the Perron ℓ^p-eigenvector of the tensor, and the maximal corresponding ℓ^p-eigenvalue, when the tensor is entrywise nonnegative and p is strictly larger than the number of modes. Then, motivated by the slow rate of convergence that the proposed methods achieve for certain real-world tensors, when p≈ d, the number of modes, in the second part we introduce an extrapolation framework based on the simplified topological ε-algorithm to efficiently accelerate the shifted power sequences. Numerical results on synthetic and real world problems show the improvements gained by the introduction of the shifting parameter and the efficiency of the acceleration technique.



There are no comments yet.


page 1

page 2

page 3

page 4

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.