Zexian Liu
Computational Theory and Mathematics · with Liu · 2018
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 9 citations into it
- Numerical Analysis — 9 citations into it
Whom Zexian Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zexian Liu's perspective
Ordered by how strongly the researchers Zexian Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space (Journal of Optimization Theory and Applications)
- The extragradient method for finding saddle points and other problems
- Viscosity Approximation Methods for Fixed-Points Problems
- Strong Convergence of the Halpern Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Spaces (Journal of Optimization Theory and Applications)
- Projected Reflected Gradient Methods for Monotone Variational Inequalities (SIAM Journal on Optimization)
- The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings
- Algorithms for the Split Variational Inequality Problem (Numerical Algorithms)
- Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space
- A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces (Mathematics of Operations Research)
- Forcing strong convergence of proximal point iterations in a Hilbert space (Mathematical programming)
Their papers
- Modified subgradient extragradient algorithms for solving monotone variational inequalities (2018) — 126 citations