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Teng-Teng Yao
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2020 – today
- 2023
- [j8]Zhi Zhao, Xiao-Qing Jin, Zheng-Jian Bai
, Teng-Teng Yao:
A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold. J. Comput. Appl. Math. 422: 114882 (2023) - [j7]Zhi Zhao, Teng-Teng Yao, Zheng-Jian Bai
, Xiao-Qing Jin:
A Riemannian inexact Newton dogleg method for constructing a symmetric nonnegative matrix with prescribed spectrum. Numer. Algorithms 92(3): 1951-1981 (2023) - [j6]Zhi Zhao, Qin Zeng, Yu-Nong Xu, Yaguan Qian, Teng-Teng Yao:
A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds. Numer. Algorithms 93(3): 1209-1223 (2023) - 2022
- [j5]Zhi Zhao, Xiao-Qing Jin, Teng-Teng Yao:
The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems. J. Comput. Appl. Math. 405: 113971 (2022) - 2021
- [j4]Teng-Teng Yao, Zhi Zhao, Zheng-Jian Bai
, Xiao-Qing Jin:
A Riemannian derivative-free Polak-Ribiére-Polyak method for tangent vector field. Numer. Algorithms 86(1): 325-355 (2021) - [i1]Zhi Zhao, Teng-Teng Yao, Zheng-Jian Bai, Xiao-Qing Jin:
A Riemannian Inexact Newton Dogleg Method for Constructing a Symmetric Nonnegative Matrix with Prescribed Spectrum. CoRR abs/2110.15749 (2021)
2010 – 2019
- 2019
- [j3]Teng-Teng Yao, Zheng-Jian Bai
, Zhi Zhao:
A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata. Numer. Linear Algebra Appl. 26(2) (2019) - 2016
- [j2]Teng-Teng Yao, Zheng-Jian Bai, Zhi Zhao, Wai-Ki Ching:
A Riemannian Fletcher-Reeves Conjugate Gradient Method for Doubly Stochastic Inverse Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 37(1): 215-234 (2016) - 2015
- [j1]Teng-Teng Yao, Zheng-Jian Bai:
Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata. J. Comput. Appl. Math. 287: 115-124 (2015)
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