Jianchun Yao

Computational Theory and Mathematics · 2011

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

Subfields

Whom Jianchun Yao trusts

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

  1. Hong-Kun Xu (in Computational Theory and Mathematics)

Papers from Jianchun Yao's perspective

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

  1. Forcing strong convergence of proximal point iterations in a Hilbert space (Mathematical programming)
  2. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
  3. Regression Shrinkage and Selection via the Lasso
  4. Strong Convergence of a Proximal-Type Algorithm in a Banach Space (SIAM Journal on Optimization)
  5. Strong convergence theorems for nonexpansive mappings and nonexpansive semigroups
  6. Strong convergence of modified Mann iterations
  7. Introduction to Optimization
  8. A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces (Mathematics of Operations Research)
  9. A strong convergence theorem for relatively nonexpansive mappings in a Banach space (Journal of Approximation Theory)
  10. On variable-step relaxed projection algorithm for variational inequalities

Their papers