V. D. Matos

Management Science and Operations Research · 2011

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. D. Matos trusts overall

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

  1. Alexander Shapiro
  2. Larry A. Wasserman
  3. Michael L. Stein
  4. Holger Heitsch
  5. Jeff T. Linderoth

Papers from V. D. Matos's perspective

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

  1. Scenario tree modeling for multistage stochastic programs (Mathematical programming)
  2. Monte Carlo Sampling Methods
  3. Analysis of stochastic dual dynamic programming method (European Journal of Operational Research)
  4. The empirical behavior of sampling methods for stochastic programming (Annals of Operations Research)
  5. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
  6. Large sample properties of simulations using latin hypercube sampling
  7. Solving the hydro unit commitment problem via dual decomposition and sequential quadratic programming (IEEE Transactions on Power Systems)
  8. Practical aspects in solving the medium-term operation planning problem of hydrothermal power systems by using the progressive hedging method
  9. All of Statistics: A Concise Course in Statistical Inference
  10. The behavior of maximum likelihood estimates under nonstandard conditions

Their papers