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20172026
most citedJacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

8 citations · 13 across the 11 of their papers we have counts for

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math.OC2021

Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations

Zhou Sheng, Jianze Li, Qin Ni

This paper mainly studies the gradient-based Jacobi-type algorithms to maximize two classes of homogeneous polynomials with orthogonality constraints, and establish their convergen…

math.OC2019

Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms

Konstantin Usevich, Jianze Li, Pierre Comon

We propose a gradient-based Jacobi algorithm for a class of maximization problems on the unitary group, with a focus on approximate diagonalization of complex matrices and tensors…