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Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse.

, , , , и . CoRR, (2017)

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Eric Alexander Jonas

Asymmetrische Synthese planar- und zentral-chiraler 1,2,3-trisubstituierter und 1,3-disubstituierter Ferrocene. TU Aachen, (2007)

Rochus Jonas

Arnfried Jonas

Udo Jonas

Rainer Jonas

 

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Multi-level Monte Carlo finite volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium., , и . J. Comput. Phys., (2016)SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation., и . CoRR, (2021)Adaptive Load Balancing for Massively Parallel Multi-Level Monte Carlo Solvers.. PPAM (1), том 8384 из Lecture Notes in Computer Science, стр. 47-56. Springer, (2013)Static Load Balancing for Multi-level Monte Carlo Finite Volume Solvers., , и . PPAM (1), том 7203 из Lecture Notes in Computer Science, стр. 245-254. Springer, (2011)Multilevel Control Variates for Uncertainty Quantification in Simulations of Cloud Cavitation., , , , и . SIAM J. Sci. Comput., 40 (5): B1361-B1390 (2018)Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier-Stokes Equations., , и . MCQMC, том 163 из Springer Proceedings in Mathematics and Statistics, стр. 209-227. Springer, (2014)Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws., , и . Uncertainty Quantification in Computational Fluid Dynamics, том 92 из Lecture Notes in Computational Science and Engineering, Springer, (2013)SPUX: Scalable Particle Markov Chain Monte Carlo for Uncertainty Quantification in Stochastic Ecological Models., и . PARCO, том 32 из Advances in Parallel Computing, стр. 159-168. IOS Press, (2017)Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse., , , , и . CoRR, (2017)Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions., , и . J. Comput. Phys., 231 (8): 3365-3388 (2012)