Uncertainty quantification in hybrid dynamical systems-Reference-Cited by-同舟云学术

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Uncertainty quantification in hybrid dynamical systems

Published:2013-03 Issue: Volume:237 Page:411-427
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Sahai Tuhin,Pasini José Miguel

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference36 articles.

1. Monte Carlo and quasi-Monte Carlo methods;Caflisch;Acta Numer.,1998

2. Response Surface Methodology;Myers,2009

3. The Elements of Statistical Learning;Hastie,2009

4. X. Wan, G.E. Karniadakis, Recent advances in polynomial chaos methods and extensions, in: Computational Uncertainty in Military Vehicle Design Meeting Proceedings, NATO/OTAN, Paper Reference Number: RTO-MP-IST-999, 2008.

5. The homogeneous chaos;Wiener;Am. J. Math.,1938

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Quantum Algorithms for Nonlinear Stochastic Dynamical Systems;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

2. Multiresolution Analysis for Uncertainty Quantification;Handbook of Uncertainty Quantification;2017

3. Multiresolution Analysis for Uncertainty Quantification;Handbook of Uncertainty Quantification;2015

4. Polynomial chaos based uncertainty quantification in Hamiltonian, multi-time scale, and chaotic systems;Journal of Computational Dynamics;2014

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