Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition

Fuente: arXiv
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Main Authors: Li, Ren-Cang, Wang, Li, Yang, Mei
Format: Preprint
Published: 2026
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_version_ 1866909052948185088
author Li, Ren-Cang
Wang, Li
Yang, Mei
author_facet Li, Ren-Cang
Wang, Li
Yang, Mei
contents The higher-order orthogonal iteration (HOOI) and the alternating subspace iteration (ASI) are two popular numerical methods for computing the Tucker decomposition of a multiple-mode tensor. Xu [Linear and Multilinear Algebra, 66(11):2247--2265, 2018] proposed a variation of HOOI, called the greedy HOOI, which has an extra alignment action between consecutive approximations. Kroonenberg and De Leeuw [Psychometrika, 45(1):69--97, 1980] analyzed the convergence of ASI but their analysis has gaps. These analysis were for a real tensor only. In this paper, we present detailed convergence analysis of the two methods that is applicable to a complex tensor with a real tensor being a special case, and it is shown both methods are globally convergent to stationary points under mild conditions while the objective function monotonically increases. Numerical examples are presented to demonstrate the convergence behavior of the methods.
format Preprint
id arxiv_https___arxiv_org_abs_2605_17793
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition
Li, Ren-Cang
Wang, Li
Yang, Mei
Numerical Analysis
58C40, 65F30, 65H17, 65K05, 90C26
The higher-order orthogonal iteration (HOOI) and the alternating subspace iteration (ASI) are two popular numerical methods for computing the Tucker decomposition of a multiple-mode tensor. Xu [Linear and Multilinear Algebra, 66(11):2247--2265, 2018] proposed a variation of HOOI, called the greedy HOOI, which has an extra alignment action between consecutive approximations. Kroonenberg and De Leeuw [Psychometrika, 45(1):69--97, 1980] analyzed the convergence of ASI but their analysis has gaps. These analysis were for a real tensor only. In this paper, we present detailed convergence analysis of the two methods that is applicable to a complex tensor with a real tensor being a special case, and it is shown both methods are globally convergent to stationary points under mild conditions while the objective function monotonically increases. Numerical examples are presented to demonstrate the convergence behavior of the methods.
title Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition
topic Numerical Analysis
58C40, 65F30, 65H17, 65K05, 90C26
url https://arxiv.org/abs/2605.17793