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Computational Aspects of Stochastic Collocation with Multifidelity Models
SIAM/ASA Journal on Uncertainty Quantification, 2014In this paper we discuss a numerical approach for the stochastic collocation method with multifidelity simulation models. The method we consider was recently proposed in [A. Narayan, C. Gittelson, and D. Xiu, SIAM J. Sci. Comput., 36 (2014), pp. A495--A521] to combine the computational efficiency of low-fidelity models with the high accuracy of high ...
Xueyu Zhu, Akil Narayan, Dongbin Xiu
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Numerical Functional Analysis and Optimization, 2019
A sparse grid stochastic collocation method combined with discontinuous Galerkin method is developed for solving convection dominated diffusion optimal control problem with random coefficients.
L. Ge, T. Sun
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A sparse grid stochastic collocation method combined with discontinuous Galerkin method is developed for solving convection dominated diffusion optimal control problem with random coefficients.
L. Ge, T. Sun
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Stochastic optimization using a sparse grid collocation scheme
Probabilistic Engineering Mechanics, 2009Abstract In computational sciences, optimization problems are frequently encountered in solving inverse problems for computing system parameters based on data measurements at specific sensor locations, or to perform design of system parameters. This task becomes increasingly complicated in the presence of uncertainties in boundary conditions or ...
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Application of collocation method to stochastic conservation laws
2017In this chapter we demonstrate how to apply the methods we presented in the previous chapters to stochastic nonlinear conservations laws. Specifically, since the problem is nonlinear we apply the stochastic collocation method (SCM) using Smolyak’s sparse grid for a one-dimensional piston problem and test its computational performance.
Zhongqiang Zhang, George Em Karniadakis
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Stochastic Reachability Analysis using Sparse-Collocation Method
AIAA SCITECH 2023 Forum, 2023Amit Jain, Puneet Singla
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Stochastic Collocation Method for Uncertainty Propagation
AIAA Guidance, Navigation, and Control Conference, 2012Bin Jia, Sheng Cai, Yang Cheng, Ming Xin
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Journal of Applied Mathematics and Computation
Haneen Badawi, O. A. Arqub, N. Shawagfeh
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Haneen Badawi, O. A. Arqub, N. Shawagfeh
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Applications of Stochastic Collocation Method in Electromagnetic Compatibility
2017The paper reviews the use of deterministic-stochastic models in some electromagnetic compatibility (EMC) applications where the uncertainty in input data set exists. In other words, of interest are cases where some properties of a system are partly or entirely unknown.
Poljak, Dragan +4 more
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