Teng-Teng Yao
According to our database1,
Teng-Teng Yao
authored at least 8 papers
between 2015 and 2023.
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Bibliography
2023
A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds.
Numer. Algorithms, July, 2023
A Riemannian inexact Newton dogleg method for constructing a symmetric nonnegative matrix with prescribed spectrum.
Numer. Algorithms, March, 2023
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., 2023
2022
The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems.
J. Comput. Appl. Math., 2022
2021
Numer. Algorithms, 2021
2019
A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata.
Numer. Linear Algebra Appl., 2019
2016
A Riemannian Fletcher-Reeves Conjugate Gradient Method for Doubly Stochastic Inverse Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 2016
2015
Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata.
J. Comput. Appl. Math., 2015