Wei Liu
Orcid: 0000-0002-2926-2667Affiliations:
- South China Normal University, Guangzhou, China
- Hunan Normal University, School of Mathematics and Statistics, MoE Key Laboratory of Computing and Stochastic Mathematics, Changsha, China (PhD 2020)
According to our database1,
Wei Liu authored at least 14 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Efficient Nehari manifold optimization algorithms for computing ground state solutions of nonlinear elliptic systems.
CoRR, March, 2026
Convergence analysis of L<sup>p+1</sup>-normalized gradient flow for action ground state of nonlinear Schrödinger equation.
CoRR, February, 2026
2025
Nehari Manifold Optimization and Its Application for Finding Unstable Solutions of Semilinear Elliptic PDEs.
SIAM J. Sci. Comput., 2025
Second-Order Flows for Approaching Stationary Points of a Class of Nonconvex Energies via Convex-Splitting Schemes.
SIAM J. Sci. Comput., 2025
Computing defocusing action ground state of rotating nonlinear Schrödinger equation: methods via various formulations and comparison.
J. Comput. Phys., 2025
2024
Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes.
CoRR, 2024
2023
SIAM J. Sci. Comput., April, 2023
Second-order flows for computing the ground states of rotating Bose-Einstein condensates.
J. Comput. Phys., February, 2023
A constrained gentlest ascent dynamics and its applications to finding excited states of Bose-Einstein condensates.
J. Comput. Phys., 2023
Convergence analysis of a spectral-Galerkin-type search extension method for finding multiple solutions to semilinear problems.
CoRR, 2023
2021
Normalized Gradient Flow with Lagrange Multiplier for Computing Ground States of Bose-Einstein Condensates.
SIAM J. Sci. Comput., 2021
Efficient and accurate gradient flow methods for computing ground states of spinor Bose-Einstein condensates.
J. Comput. Phys., 2021
Normalized Wolfe-Powell-type Local Minimax Method for Finding Multiple Unstable Solutions of Nonlinear Elliptic PDEs.
CoRR, 2021