Weijun Zhou

Optimization & Training · 2006–2007

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Weijun Zhou trusts overall

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

  1. John E. Dennis Jr.
  2. Jorge Nocedal
  3. Dong C. Liu
  4. William W. Hager
  5. Jorge J. Moré
  6. Donghui Li
  7. Elijah Polak
  8. Hongchao Zhang
  9. Bobby Schnabel
  10. Ernesto G. Birgin

Who trusts Weijun Zhou overall

  1. Donghui Li
  2. Zhifeng Dai
  3. Xiaoling Wang
  4. Huan Zhu
  5. Xueyong Wang
  6. Li Zhang

Papers from Weijun Zhou's perspective

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

  1. Updating Quasi-Newton Matrices With Limited Storage
  2. Benchmarking optimization software with performance profiles
  3. A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search (SIAM Journal on Optimization)
  4. A Characterization of Superlinear Convergence and its Application to Quasi-Newton Methods
  5. A SURVEY OF NONLINEAR CONJUGATE GRADIENT METHODS
  6. A Spectral Conjugate Gradient Method for Unconstrained Optimization
  7. Optimization: Algorithms and Consistent Approximations
  8. A derivative-free line search and global convergence of Broyden-like method for nonlinear equations
  9. A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
  10. A New Approach to Variable Metric Algorithms

Their papers