Uniqueness and perturbation bounds for sparse non-negative tensor equations

Dongdong Liu, Wen Li*, Kwok Po NG, Seak Weng Vong

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

We discuss the uniqueness and the perturbation analysis for sparse non-negative tensor equations arriving from data sciences. By two different techniques, we may get better ranges of parameters to guarantee the uniqueness of the solution of the tensor equation. On the other hand, we present some perturbation bounds for the tensor equation. Numerical examples are given to show the efficiency of the theoretical results.

Original languageEnglish
Pages (from-to)849-874
Number of pages26
JournalFrontiers of Mathematics in China
Volume13
Issue number4
DOIs
Publication statusPublished - 1 Aug 2018

Scopus Subject Areas

  • Mathematics (miscellaneous)

User-Defined Keywords

  • perturbation
  • Stochastic tensor
  • tensor equation
  • uniqueness

Fingerprint

Dive into the research topics of 'Uniqueness and perturbation bounds for sparse non-negative tensor equations'. Together they form a unique fingerprint.

Cite this