Oct 22, 2014 · In this paper we present our advances in quantile estimation of morphodynamic simulations of river bed evolution.

The methods are combined with RBF metamodel and applied to the analysis of morphodynamic hydrodynamic simulations of the river bed evolution. The following ...

Quasi-Monte Carlo methods provide significant improvement of quantile precision, e.g. the number of function evaluations necessary to achieve rms ~ 10−4 ...

Four generic methods for quantile estimation have been compared: Monte Carlo (MC), Monte Carlo with Harrel-Davis weighting (WMC), quasi-Monte Carlo with ...

Quasi-Monte Carlo and RBF Metamodeling for Quantile Estimation in River Bed Morphodynamics · Robustness Measures and Numerical Approximation of the Cumulative ...

We use metamodeling of bulky simulation results with radial basis functions (RBF), quasi-Monte Carlo sampling (QMC) and efficient quantile estimator (QE).

Tanja Clees , ; Igor N. Nikitin, ; Lialia Nikitina, Sabine Pott: Quasi-Monte Carlo and RBF Metamodeling for Quantile Estimation in River Bed Morphodynamics.

Numerical simulations of river bed evolution (morphodynamics) can be used for evaluating river engineering concepts and efficient operation of waterways.

Quasi-Monte Carlo and RBF Metamodeling for Quantile Estimation in River Bed Morphodynamics. Tanja Clees, Igor Nikitin, Lialia Nikitina, Sabine Pott. Pages 211 ...

Quasi-Monte Carlo and RBF Metamodeling for Quantile Estimation in River Bed Morphodynamics. Advances in Intelligent Systems and Computing. 2014-10 | Other. DOI ...