T. Laurea

Optimization & Training · 2000

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 T. Laurea trusts overall

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

  1. M. Powell
  2. Dimitri P. Bertsekas
  3. John E. Dennis Jr.
  4. Trond Steihaug
  5. R. D. Hayes

Papers from T. Laurea's perspective

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

  1. Genetic Algorithms in Search Optimization and Machine Learning
  2. A Rapidly Convergent Descent Method for Minimization
  3. A Simplex Method for Function Minimization
  4. Randomized Methods for Linear Constraints: Convergence Rates and Conditioning (Mathematics of Operations Research)
  5. Sparse Reconstruction by Separable Approximation
  6. Algorithms for minimization without derivatives
  7. Updating Quasi-Newton Matrices With Limited Storage
  8. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  9. Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods
  10. Adaptive Algorithms and Stochastic Approximations

Their papers