Yan Ding
Optimization & Training · 2004–2005
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 5 citations into it
Whom Yan Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yan Ding overall
Papers from Yan Ding's perspective
Ordered by how strongly the researchers Yan Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
- Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
- Identification of Manning's Roughness Coefficients in Shallow Water Flows
- OPTIMAL ESTIMATION OF ROUGHNESS IN OPEN-CHANNEL FLOWS. TECHNICAL NOTE
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- Representations of quasi-Newton matrices and their use in limited memory methods
- Updating Quasi-Newton Matrices With Limited Storage
- Constrained minimization methods
- On the limited memory BFGS method for large scale optimization
- INEXACT NEWTON METHODS
Their papers
- Identification of Manning's roughness coefficients in channel network using adjoint analysis (2005) — 65 citations
- Identification of Manning's Roughness Coefficients in Shallow Water Flows (2004) — 131 citations