作者
Stanislav Morozov, Dmitry A Zheltkov, Nikolai Zamarashkin
发表日期
2020
研讨会论文
Large-Scale Scientific Computing: 12th International Conference, LSSC 2019, Sozopol, Bulgaria, June 10–14, 2019, Revised Selected Papers 12
页码范围
133-139
出版商
Springer International Publishing
简介
In this paper we address the application properties of the decoupling multivariate polynomials problem algorithm proposed in [2]. By numerous examples we demonstrate that this algorithm, unfortunately, fails to provide a solution in some cases. Therefore we empirically determine the application scope of this algorithm and show that it is connected with the uniqueness conditions of the CP-decomposition (Canonical Polyadic Decomposition). We also investigate the approximation properties of this algorithm and show that it is capable of construction the best low-rank polynomial approximation provided that the CP-decomposition is unique.
学术搜索中的文章
S Morozov, DA Zheltkov, N Zamarashkin - Large-Scale Scientific Computing: 12th International …, 2020