Yating Wang

IEEE Transactions on Power Systems · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yating Wang trusts

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

  1. Andreas Wächter (in Numerical Analysis)
  2. Lorenz T. Biegler (in Numerical Analysis)

Papers from Yating Wang's perspective

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

  1. Interior Methods for Nonlinear Optimization (SIAM Review)
  2. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
  3. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  4. On robust estimation of the location parameter
  5. Robust Statistics—The Approach Based on Influence Functions
  6. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  7. Nonlinear programming without a penalty function (Mathematical programming)
  8. Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming (SIAM Journal on Optimization)
  9. Some NP-complete problems in quadratic and nonlinear programming
  10. A trust region method based on interior point techniques for nonlinear programming (Mathematical programming)

Their papers