Jose Luis Morales

Computational Theory and Mathematics · 2006–2011

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jose Luis Morales trusts overall

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

  1. N. Gould
  2. Richard H. Byrd
  3. C. Zhu
  4. Dominique Orban
  5. Jorge Nocedal
  6. Roger Fletcher
  7. Philippe L. Toint
  8. P. Lu

Who trusts Jose Luis Morales overall

  1. Antonin Chambolle
  2. T. Nickson
  3. Ingo P. Waldmann
  4. Thomas Pock
  5. Jaan-Willem Simon
  6. Philipp Hennig
  7. Daeyoung Kim
  8. Tom Gunter
  9. Giovanna Tinetti
  10. Richard H. Byrd

Papers from Jose Luis Morales's perspective

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

  1. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  2. Representations of quasi-Newton matrices and their use in limited memory methods
  3. Benchmarking optimization software with performance profiles
  4. A trust region method based on interior point techniques for nonlinear programming (Mathematical programming)
  5. Nonlinear programming without a penalty function (Mathematical programming)
  6. CUTEr and SifDec: A constrained and unconstrained testing environment, revisited (TOMS)
  7. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
  8. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  9. Newton-Type Minimization via the Lanczos Method
  10. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization (SIAM Journal on Optimization)

Their papers