GenX: an extensible X-ray reflectivity refinement program utilizing differential evolution

By M. Björck, G. Andersson. 2007

723 citations recorded by the source corpus.

Subfields: Materials Chemistry, Radiation

View Paper: https://www.semanticscholar.org/paper/ade967feef46e1241a689dd8188c7ad7a7361230

How researchers see this paper

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

In Materials Chemistry

1. David Gil
2. David Ardia
3. Katharine M. Mullen
4. J. Cline
5. D. Windover

In Radiation

1. David Gil
2. David Ardia
3. Katharine M. Mullen
4. J. Cline
5. D. Windover

Citations in the corpus

• DEoptim: An R Package for Global Optimization by Differential Evolution (2009, methodology): “Numerous extensions and refinements of the GARCH(1, 1) model have been proposed to mimic additional stylized facts observed in financial markets, such as nonlinearity, asymmetry, and long memory properties in the volatility process; see Bollerslev, Chou, and Kroner (1992) and Bollerslev, Engle, and ”