G
G. Rennen
Researcher at Tilburg University
Publications - 24
Citations - 1531
G. Rennen is an academic researcher from Tilburg University. The author has contributed to research in topics: Latin hypercube sampling & Optimization problem. The author has an hindex of 12, co-authored 24 publications receiving 1236 citations.
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Robust Solutions of Optimization Problems Affected by Uncertain Probabilities
TL;DR: Cachon et al. as mentioned in this paper studied robust linear optimization problems with uncertainty regions defined by φ-divergences and showed that the robust counterpart of a linear optimization problem with φ divergence uncertainty is tractable for most of the choices of φ typically considered in the literature.
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Robust Solutions of Optimization Problems Affected by Uncertain Probabilities
TL;DR: In this paper, robust linear optimization problems with uncertainty regions defined by o-divergences (for example, chi-squared, Hellinger, Kullback-Leibler) are studied.
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Space-filling Latin hypercube designs for computer experiments
TL;DR: A database of approximate maximin and Audze-Eglais Latin hypercube designs for up to ten dimensions and for up-to 300 design points is constructed.
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Nested maximin Latin hypercube designs
TL;DR: In this paper, the authors construct nested maximin Latin hypercube designs for up to ten dimensions and compare the performance of these designs with different types of grids, including grids with different levels of accuracy, linking parameters, and sequential evaluations.
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Nested Maximin Latin Hypercube Designs
TL;DR: In this paper, the authors construct nested maximin Latin hypercube designs for up to ten dimensions and discuss how to determine which grid to use for a specific application, including training and test sets, models with different levels of accuracy, linking parameters and sequential evaluations.