Sushant S. Garud

Computational Theory and Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sushant S. Garud trusts overall

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

  1. Stephen Joe
  2. Christiane Lemieux
  3. Ruichen Jin
  4. Frances Y. Kuo
  5. Luc Pronzato
  6. Paola Sebastiani
  7. Anthony A. Giunta
  8. Alison Cozad
  9. Donald R. Jones
  10. Agus Sudjianto

Papers from Sushant S. Garud's perspective

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

  1. Efficient Global Optimization of Expensive Black-Box Functions
  2. Random number generation and Quasi-Monte Carlo methods
  3. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
  4. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  5. Remark on algorithm 659: Implementing Sobol's quasirandom sequence generator (TOMS)
  6. On a Measure of the Information Provided by an Experiment
  7. On the distribution of points in a cube and the approximate evaluation of integrals
  8. Monte Carlo Statistical Methods
  9. Simulation and the Monte Carlo method
  10. Computational investigations of low-discrepancy sequences

Their papers