Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation

By Andrew R. Conn, Katya Scheinberg, Luís Nunes Vicente. 2008

108 citations recorded by the source corpus.

Subfields: Computational Mechanics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/d71cd655349f3481cc75ebdd9130c66a7e0b4161

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Serge Gratton
2. Clément W. Royer
3. Luís Nunes Vicente
4. Xiaojun Chen
5. Rohollah Garmanjani

In Numerical Analysis

1. Luís Nunes Vicente
2. Serge Gratton
3. Clément W. Royer
4. Rohollah Garmanjani
5. Coralia Cartis
6. Philippe L. Toint
7. N. Gould
8. Xiaojun Chen

Citations in the corpus

• Complexity and global rates of trust-region methods based on probabilistic models (2018, background): “Conn, Scheinberg, and Vicente [9, 10, 12] provided a systematic approach to the subject of deterministic sampling geometry in DFO, establishing error bounds for polynomial interpolation and regression models in terms of a constant measuring the quality or well poisedness of the corresponding sample ”