S. J. Li

Numerical Analysis · 2002–2015

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 10 citations into it

Whom S. J. Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William W. Hager
2. F. Clarke
3. Li Zhang
4. Hongchao Zhang

Who trusts S. J. Li overall

1. Lam Quoc Anh
2. Phan Nguyen Quoc Khanh
3. X. Gong
4. Monica Bianchi

Papers from S. J. Li's perspective

Ordered by how strongly the researchers S. J. Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Benchmarking optimization software with performance profiles
2. A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search (SIAM Journal on Optimization)
3. A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
4. Well-Posedness and Scalarization in Vector Optimization
5. Generalized gradients and applications
6. Levenberg–Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints
7. Updating Quasi-Newton Matrices With Limited Storage
8. Numerical methods for unconstrained optimization and nonlinear equations
9. On Restart Procedures for the Conjugate Gradient Method
10. Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications

Their papers

• On the Stability of Generalized Vector Quasivariational Inequality Problems (2002) — 98 citations
• Well-posedness for set optimization problems (2009) — 111 citations
• A self-adaptive three-term conjugate gradient method for monotone nonlinear equations with convex constraints (2015) — 60 citations
• Calculus Rules for Derivatives of Multimaps (2009) — 49 citations
• Stability of weak vector variational inequality (2009) — 61 citations