On the Problem of Decoupling Multivariate Polynomials

DOI10.1007/978-3-030-41032-2_14OpenAlexW3005949360MaRDI QIDQ3297698

Nikolai L. Zamarashkin, Dmitry A. Zheltkov, S. F. Morozov

Publication date: 20 July 2020

Published in: Large-Scale Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-41032-2_14

zbMATH Keywords

polynomialtensor decompositionlow-parametric representation

Mathematics Subject Classification ID

Numerical analysis (65-XX)

Cites Work

• Identification of nonlinear systems using polynomial nonlinear state space models
• Block-oriented nonlinear system identification
• Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
• Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions
• A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization