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Teng-Teng Yao
Publication Activity (10 Years)
Years Active: 2015-2023
Publications (10 Years): 9
Top Topics
Least Squares
Eigenvalue Problems
Convergence Property
Vector Field
Top Venues
J. Comput. Appl. Math.
Numer. Algorithms
CoRR
SIAM J. Matrix Anal. Appl.
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Publications
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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 (2023)
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) (2023)
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) (2023)
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 (2022)
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
(2021)
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) (2021)
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)
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) (2016)
Teng-Teng Yao
,
Zheng-Jian Bai
Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata.
J. Comput. Appl. Math.
287 (2015)