Feasible Newton methods for symmetric tensor Z-eigenvalue problems
From MaRDI portal
Publication:6175563
DOI10.1080/10556788.2022.2142586arXiv2203.06842OpenAlexW4309000419MaRDI QIDQ6175563
Jie-Feng Xu, Xue-Li Bai, Dong-hui Li
Publication date: 24 July 2023
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2203.06842
Cites Work
- D-eigenvalues of diffusion kurtosis tensors
- Z-eigenvalue methods for a global polynomial optimization problem
- A modified Newton iteration for finding nonnegative \(Z\)-eigenpairs of a nonnegative tensor
- Tensor eigenvalues and their applications
- On the uniqueness and non-uniqueness of the positive \(\mathcal Z\)-eigenvector for transition probability tensors
- An adaptive gradient method for computing generalized tensor eigenpairs
- Eigenvalues of a real supersymmetric tensor
- On the Best Rank-1 Approximation of Higher-Order Supersymmetric Tensors
- Geometric Measure of Entanglement and U-Eigenvalues of Tensors
- Semidefinite Relaxations for Best Rank-1 Tensor Approximations
- Finding the extreme Z-eigenvalues of tensors via a sequential semidefinite programming method
- A sequential subspace projection method for extreme Z-eigenvalues of supersymmetric tensors
- Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors
- Shifted Power Method for Computing Tensor Eigenpairs
- A convergent Newton algorithm for computing Z-eigenvalues of an almost nonnegative irreducible tensor
- An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs
- All Real Eigenvalues of Symmetric Tensors
- Tensor Analysis
- Most Tensor Problems Are NP-Hard
- Generalized Tensor Eigenvalue Problems
- Unnamed Item
- Unnamed Item
This page was built for publication: Feasible Newton methods for symmetric tensor Z-eigenvalue problems