| Non-intrusive uncertainty quantification using reduced cubature rules LMM van den Bos, B Koren, RP Dwight Journal of Computational Physics 332, 418-445, 2017 | 17 | 2017 |
| Bayesian Model Calibration with Interpolating Polynomials based on Adaptively Weighted Leja Nodes L van den Bos, B Sanderse, W Bierbooms, G van Bussel Communications in Computational Physics 27 (1), 33-69, 2020 | 13 | 2020 |
| Adaptive sampling-based quadrature rules for efficient Bayesian prediction LMM van den Bos, B Sanderse, W Bierbooms Journal of Computational Physics 417, 109537, 2020 | 11 | 2020 |
| Generating nested quadrature rules with positive weights based on arbitrary sample sets L Van Den Bos, B Sanderse, W Bierbooms, G Van Bussel SIAM/ASA Journal on Uncertainty Quantification 8 (1), 139-169, 2020 | 7 | 2020 |
| Fatigue design load calculations of the offshore NREL 5 MW benchmark turbine using quadrature rule techniques L van den Bos, W Bierbooms, A Alexandre, B Sanderse, G van Bussel Wind Energy 23 (5), 1181-1195, 2020 | 5 | 2020 |
| Efficient ultimate load estimation for offshore wind turbines using interpolating surrogate models LMM Van Den Bos, B Sanderse, L Blonk, W Bierbooms, GJW Van Bussel Journal of Physics: Conference Series 1037 (6), 062017, 2018 | 5 | 2018 |
| Uncertainty quantification for wind energy applications—literature review L Van den Bos, B Sanderse CWI-Report SC-1701, 2017 | 5 | 2017 |
| Quadrature Methods for Wind Turbine Load Calculations L van den Bos Ph. D. Thesis, 2020 | 4 | 2020 |
| Networks of polling systems L van den Bos, M Boon Technische Universiteit Eindhoven, Eindhoven, The Netherlands, Bachelor’s thesis, 2013 | 2 | 2013 |
| A geometrical interpretation of the addition of nodes to an interpolatory quadrature rule while preserving positive weights LMM van den Bos, B Sanderse Journal of Computational and Applied Mathematics 391, 113430, 2021 | 1 | 2021 |
| Uncertainty quantification for wind energy applications L van den Bos, B Sanderse Scientific Comupting SC 1701, 2017 | 1 | 2017 |
| Improved non-intrusive uncertainty propagation in complex fluid flow problems LMM van den Bos, B Koren, RP Dwight 9th International Conference on Computational Fluid Dynamics, ICCFD 2016, 2016 | | 2016 |
| Non-Intrusive, High-Dimensional Uncertainty Quantification for the Robust Simulation of Fluid Flows L van den Bos, J Witteveen, B Koren | | 2015 |
Benjamin SanderseCentrum Wiskunde & Informatica, Eindhoven University of TechnologyVerified email at cwi.nl
