Alfred Auslender

SIAM Journal on Optimization · 2002–2006

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Whom Alfred Auslender trusts overall

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

  1. R. Tyrrell Rockafellar
  2. Marc Teboulle
  3. Amir Beck
  4. Masao Fukushima
  5. Zhi-Quan Tom Luo
  6. Yurii E. Nesterov
  7. Paul Tseng

Who trusts Alfred Auslender overall

  1. Guanghui Lan
  2. Amir Beck
  3. Paul Tseng
  4. Ali H. Sayed
  5. Michel Baes
  6. Marc Teboulle
  7. Yunmei Chen
  8. E.J. Candes
  9. Angelia Nedić
  10. Brendan O'Donoghue

Papers from Alfred Auslender's perspective

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

  1. Interior-point polynomial algorithms in convex programming
  2. Mirror descent and nonlinear projected subgradient methods for convex optimization
  3. Monotone Operators and the Proximal Point Algorithm
  4. Problem Complexity and Method Efficiency in Optimization
  5. Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions
  6. Smoothing Functions for Second-Order-Cone Complementarity Problems (SIAM Journal on Optimization)
  7. Proximité et dualité dans un espace hilbertien
  8. Conditional Value-at-Risk for General Loss Distributions
  9. Portfolio Selection
  10. Sparse Reconstruction by Separable Approximation

Their papers