Rommel G. Regis

Computational Theory and Mathematics · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 9 citations into it; #1,234 of 12,182 by trust here, #3,681 by citations
• Management Science and Operations Research — 9 citations into it; #1,253 of 11,946 by trust here, #3,705 by citations
• Numerical Analysis — 9 citations into it
• Mathematical Optimization — 8 citations into it
• Artificial Intelligence — 5 citations into it; #10,660 of 35,345 by trust here, #24,417 by citations

Whom Rommel G. Regis trusts overall

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

1. Donald R. Jones
2. M. Powell
3. Hans-Martin Gutmann
4. Jerome H. Friedman
5. James C. Spall
6. Tamara G. Kolda
7. John A. Nelder
8. Thomas J. Santner
9. Matthias Schonlau
10. Robert Michael Lewis

Who trusts Rommel G. Regis overall

1. Saman Razavi
2. Benjamin Peherstorfer
3. Ky Khac Vu
4. Haitao Liu
5. P. Mugunthan
6. David Eriksson
7. Karen E. Willcox
8. Bryan Tolson
9. Matthew Tesch
10. Ryan D. Turner

Papers from Rommel G. Regis's perspective

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

1. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
2. Efficient Global Optimization of Expensive Black-Box Functions
3. A Simplex Method for Function Minimization
4. A Direct Search Optimization Method That Models the Objective and Constraint Functions by Linear Interpolation
5. A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
6. Design and analysis of computer experiments
7. Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods
8. UOBYQA: unconstrained optimization by quadratic approximation (Mathematical programming)
9. Lipschitzian optimization without the Lipschitz constant
10. A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise

Their papers

• Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions (2005) — 356 citations
• A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions (2007) — 521 citations
• On the properties of positive spanning sets and positive bases (2016) — 48 citations