Andrew I. March

Computational Theory and Mathematics · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 16 citations into it; #3,650 of 12,182 by trust here, #7,142 by citations
• Statistics and Probability — 10 citations into it; #4,409 of 12,932 by trust here, #7,508 by citations
• Artificial Intelligence — 7 citations into it
• Control and Systems Engineering — 5 citations into it
• Mathematical Optimization — 5 citations into it; #258 of 422 by trust here, #365 by citations

Whom Andrew I. March trusts overall

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

1. Marc C. Kennedy
2. Donald R. Jones
3. Anthony OʼHagan
4. Hans-Martin Gutmann
5. M. Sasena
6. S. Lophaven
7. Athanasios C. Antoulas
8. Matthias Schonlau
9. Panos Y. Papalambros
10. Robert Michael Lewis

Who trusts Andrew I. March overall

1. Benjamin Peherstorfer
2. Karen E. Willcox
3. Leifur Þ. Leifsson
4. Radwa El Shawi
5. Yi-Qi Hu
6. Max D. Gunzburger
7. Mohamed Maher
8. Slawomir Koziel
9. Yang Yu
10. Tong Yu

Papers from Andrew I. March's perspective

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

1. Efficient Global Optimization of Expensive Black-Box Functions
2. Design and analysis of computer experiments
3. Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization
4. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
5. A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
6. A rigorous framework for optimization of expensive functions by surrogates
7. Predicting the output from a complex computer code when fast approximations are available
8. A statistical method for global optimization
9. Large sample properties of simulations using latin hypercube sampling
10. Aspects of the Matlab toolbox DACE

Their papers

• A Provably Convergent Multifidelity Optimization Algorithm not Requiring High-Fidelity Derivatives (2010) — 51 citations
• Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives (2012) — 97 citations