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Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design
Beck, Joakim, Mansour Dia, Ben, Espath, Luis, Tempone, Raúl
Published in International journal for numerical methods in engineering (15.08.2020)
Published in International journal for numerical methods in engineering (15.08.2020)
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Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance
Piazzola, Chiara, Tamellini, Lorenzo, Pellegrini, Riccardo, Broglia, Riccardo, Serani, Andrea, Diez, Matteo
Published in Engineering with computers (01.06.2023)
Published in Engineering with computers (01.06.2023)
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Uncertainty quantification of contaminant transport and risk assessment with conditional stochastic collocation method
Shi, Liangsheng, Zeng, Lingzao, Tang, Yunqing, Chen, Cheng, Yang, Jinzhong
Published in Stochastic environmental research and risk assessment (01.08.2013)
Published in Stochastic environmental research and risk assessment (01.08.2013)
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Stochastic collocation schemes for Neural Field Equations with random data
Avitabile, Daniele, Cavallini, Francesca, Dubinkina, Svetlana, Lord, Gabriel J
Year of Publication 22.05.2025
Year of Publication 22.05.2025
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Uncertainty quantification of offshore wind farms using Monte Carlo and sparse grid
Richter, Pascal, Wolters, Jannick, Frank, Martin
Published in Energy sources. Part B, Economics, planning and policy (31.12.2022)
Published in Energy sources. Part B, Economics, planning and policy (31.12.2022)
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Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations
Van Langenhove, J., Lucor, D., Alauzet, F., Belme, A.
Published in Journal of computational physics (01.12.2018)
Published in Journal of computational physics (01.12.2018)
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Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance
Piazzola, Chiara, Tamellini, Lorenzo, Pellegrini, Riccardo, Broglia, Riccardo, Serani, Andrea, Diez, Matteo
Year of Publication 01.06.2021
Year of Publication 01.06.2021
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Adaptive multi-element polynomial chaos with discrete measure: Algorithms and application to SPDEs
Zheng, Mengdi, Wan, Xiaoliang, Karniadakis, George Em
Published in Applied numerical mathematics (01.04.2015)
Published in Applied numerical mathematics (01.04.2015)
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Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids
Lin, G., Tartakovsky, A.M., Tartakovsky, D.M.
Published in Journal of computational physics (20.09.2010)
Published in Journal of computational physics (20.09.2010)
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Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison
Piazzola, Chiara, Tamellini, Lorenzo, Pellegrini, Riccardo, Broglia, Riccardo, Serani, Andrea, Diez, Matteo
Published in arXiv.org (04.11.2020)
Published in arXiv.org (04.11.2020)
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A fast and parallel stroud-based stochastic collocation method for statistical EMI/EMC analysis
Bagci, H., Yavuz, C., Yucel, A.C., Hesthaven, J.S., Michielssen, E.
Published in 2008 IEEE International Symposium on Electromagnetic Compatibility (01.08.2008)
Published in 2008 IEEE International Symposium on Electromagnetic Compatibility (01.08.2008)
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Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance
Piazzola, Chiara, Tamellini, Lorenzo, Pellegrini, Riccardo, Broglia, Riccardo, Serani, Andrea, Diez, Matteo
Published in arXiv.org (26.11.2021)
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Published in arXiv.org (26.11.2021)
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