W. J. Zhou

2007

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom W. J. Zhou trusts overall

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

  1. Jorge Nocedal
  2. John E. Dennis Jr.
  3. Dong C. Liu
  4. Donghui Li

Who trusts W. J. Zhou overall

  1. Donghui Li

Papers from W. J. Zhou's perspective

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

  1. On the limited memory BFGS method for large scale optimization
  2. Updating Quasi-Newton Matrices With Limited Storage
  3. A Characterization of Superlinear Convergence and its Application to Quasi-Newton Methods
  4. Numerical methods for unconstrained optimization and nonlinear equations
  5. A derivative-free line search and global convergence of Broyden-like method for nonlinear equations
  6. A New Approach to Variable Metric Algorithms
  7. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  8. A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search (SIAM Journal on Optimization)
  9. Benchmarking optimization software with performance profiles
  10. The solution of nonlinear finite element equations

Their papers