Rodolphe Le Riche

Computational Theory and Mathematics · 2004–2010

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 25 citations into it; #5,828 of 12,182 by trust here, #3,796 by citations
• Statistics and Probability — 17 citations into it; #6,501 of 12,932 by trust here, #4,132 by citations
• Management Science and Operations Research — 16 citations into it; #5,306 of 11,946 by trust here, #3,825 by citations
• Artificial Intelligence — 14 citations into it
• Mathematical Optimization — 9 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it

Whom Rodolphe Le Riche trusts overall

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

1. Donald R. Jones
2. Anthony OʼHagan
3. Jay D. Martin
4. John A. Nelder
5. Deng Huang
6. Anton J. Kleywegt
7. Alexander Shapiro
8. M. Sasena

Who trusts Rodolphe Le Riche overall

1. Tong Yu
2. Peter I. Frazier
3. Kirthevasan Kandasamy
4. Hong Zhu
5. Thomas Desautels
6. Liam Li
7. Vu Nguyen
8. Hamidreza Hamdi
9. James M. Parr
10. José Miguel Hernández-Lobato

Papers from Rodolphe Le Riche's perspective

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

1. Random number generation and Quasi-Monte Carlo methods
2. Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models
3. A Simplex Method for Function Minimization
4. The Sample Average Approximation Method for Stochastic Discrete Optimization
5. Statistical Decision Theory and Bayesian Analysis, Second Edition
6. The empirical behavior of sampling methods for stochastic programming (Annals of Operations Research)
7. The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study (Computational optimization and applications)
8. Statistical and computational inverse problems
9. Global Optimization
10. Bayesian analysis of computer code outputs: A tutorial

Their papers

• Kriging is well-suited to parallelize optimization (2010) — 474 citations
• Dealing with asynchronicity in parallel Gaussian Process based global optimization (2010) — 64 citations
• Introduction to the Bayesian Approach Applied to Elastic Constants Identification (2010) — 48 citations
• A constrained, globalized, and bounded Nelder–Mead method for engineering optimization (2004) — 115 citations