Výsledky vyhledávání - Stochastic Galerkin methods. Stochastic Collocation methods

  1. 1

    Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations Autor Pulch, Roland

    ISSN: 0377-0427, 1879-1778
    Vydáno: Elsevier B.V 15.05.2014
    “… Alternatively, stochastic collocation methods or the stochastic Galerkin approach yield larger coupled systems of differential algebraic equations…”
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  2. 2

    Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients Autor Nobile, F., Tempone, Raul

    ISSN: 0029-5981, 1097-0207, 1097-0207
    Vydáno: Chichester, UK John Wiley & Sons, Ltd 05.11.2009
    “… The stochastic coefficients of the PDE are approximated by truncated Karhunen–Loève expansions driven by a finite number of uncorrelated random variables…”
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  3. 3

    A Sparse Grid Stochastic Collocation Discontinuous Galerkin Method for Constrained Optimal Control Problem Governed by Random Convection Dominated Diffusion Equations Autor Ge, Liang, Sun, Tongjun

    ISSN: 0163-0563, 1532-2467
    Vydáno: Abingdon Taylor & Francis 19.05.2019
    “…A sparse grid stochastic collocation method combined with discontinuous Galerkin method is developed for solving convection dominated diffusion optimal control problem with random coefficients…”
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  4. 4

    On the efficacy of stochastic collocation, stochastic Galerkin, and stochastic reduced order models for solving stochastic problems Autor Field, R.V., Grigoriu, M., Emery, J.M.

    ISSN: 0266-8920, 1878-4275
    Vydáno: United States Elsevier Ltd 01.07.2015
    Vydáno v Probabilistic engineering mechanics (01.07.2015)
    “…The stochastic collocation (SC) and stochastic Galerkin (SG) methods are two well-established and successful approaches for solving general stochastic problems…”
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  5. 5

    A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification Autor Xiao, Tianbai, Frank, Martin

    ISSN: 0021-9991, 1090-2716
    Vydáno: Cambridge Elsevier Inc 01.05.2021
    Vydáno v Journal of computational physics (01.05.2021)
    “… methods are often employed at separate scales with corresponding assumptions and approximations…”
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  6. 6

    On the relationship between the stochastic Galerkin method and the pseudo-spectral collocation method for linear differential algebraic equations Autor Manfredi, Paolo, De Zutter, Daniël, Vande Ginste, Dries

    ISSN: 0022-0833, 1573-2703
    Vydáno: Dordrecht Springer Netherlands 01.02.2018
    Vydáno v Journal of engineering mathematics (01.02.2018)
    “… Most of the implementations are based on either the intrusive stochastic Galerkin method or on non-intrusive collocation approaches, of which a very common example is the pseudo-spectral method based…”
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  7. 7

    On collocation-Galerkin method and fractional B-spline functions for a class of stochastic fractional integro-differential equations Autor Masti, I., Sayevand, K.

    ISSN: 0378-4754, 1872-7166
    Vydáno: Elsevier B.V 01.02.2024
    “…In recent years, as detailed in several monographs, derivations of the fractional differential equations and fractional integral equations are based on random functional or stochastic equations…”
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  8. 8

    High-Order Collocation Methods for Differential Equations with Random Inputs Autor Xiu, Dongbin, Hesthaven, Jan S.

    ISSN: 1064-8275, 1095-7197
    Vydáno: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2005
    Vydáno v SIAM journal on scientific computing (01.01.2005)
    “… To this end, stochastic Galerkin methods appear to be superior to other nonsampling methods and, in many cases, to several sampling methods…”
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  9. 9

    A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification Autor Xiao, Tianbai, Frank, Martin

    ISSN: 0021-9991, 1090-2716
    Vydáno: Cambridge Elsevier Inc 15.07.2021
    Vydáno v Journal of computational physics (15.07.2021)
    “…•An accelerative hybrid Galerkin-collocation method is proposed for the treatment of source term in the kinetic equation…”
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  10. 10

    A Legendre–Galerkin Chebyshev collocation method for the Burgers equation with a random perturbation on boundary condition Autor Pan, Jiajia, Wu, Hua

    ISSN: 0170-4214, 1099-1476
    Vydáno: Freiburg Wiley Subscription Services, Inc 30.01.2023
    “… Firstly, the stochastic Galerkin method combined with the Legendre–Galerkin Chebyshev collocation scheme is adopted, which means that the original equation…”
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  11. 11

    A multiscale stochastic finite element method on elliptic problems involving uncertainties Autor Xu, X. Frank

    ISSN: 0045-7825, 1879-2138
    Vydáno: Amsterdam Elsevier B.V 01.05.2007
    “… method and stochastic collocation method are introduced and combined with deterministic multiscale methods, i.e…”
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  12. 12

    Performance Comparison of the SGM and the SCM in EMC Simulation Autor Jinjun Bai, Gang Zhang, Di Wang, Duffy, Alistair P., Lixin Wang

    ISSN: 0018-9375, 1558-187X
    Vydáno: New York IEEE 01.12.2016
    “… the reliability of simulation results. The Stochastic Galerkin Method (SGM) and the Stochastic Collocation Method (SCM…”
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  13. 13

    Numerical comparison of three stochastic methods for nonlinear PN junction problems Autor Yao, Wenqi, Lu, Tiao

    ISSN: 2731-8648, 2731-8656
    Vydáno: Dordrecht Springer Nature B.V 01.06.2014
    Vydáno v Frontiers of Mathematics (01.06.2014)
    “…We apply the Monte Carlo, stochastic Galerkin, and stochastic collocation methods to solving the drift-diffusion equations coupled with the Poisson equation arising in semiconductor devices with random rough surfaces…”
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  14. 14

    Optimal control with stochastic PDE constraints and uncertain controls Autor Rosseel, Eveline, Wells, Garth N.

    ISSN: 0045-7825, 1879-2138
    Vydáno: Kidlington Elsevier B.V 01.03.2012
    “… It is shown that applying the stochastic collocation finite element method to the formulated…”
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  15. 15

    On stability and monotonicity requirements of finite difference approximations of stochastic conservation laws with random viscosity Autor Pettersson, Per, Doostan, Alireza, Nordström, Jan

    ISSN: 0045-7825, 1879-2138, 1879-2138
    Vydáno: Elsevier B.V 01.05.2013
    “…The stochastic Galerkin and collocation methods are used to solve an advection–diffusion equation with uncertain and spatially varying viscosity…”
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  16. 16

    Polynomial Chaos Based Statistical Analysis of the Shielding Effectiveness of an Enclosure With Apertures Under Multiple Uncertainties Autor Wang, Jinping, Nie, Bao-Lin, Yang, Yanfu, Zhang, Wei, Wang, Jiabao, Du, Pingan

    ISSN: 0018-9375, 1558-187X
    Vydáno: New York IEEE 01.06.2024
    “…This article presents an efficient statistical analysis of the shielding effectiveness (SE) of an enclosure with apertures under multiple uncertainties. It…”
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  17. 17

    Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients Autor Dexter, Nick C., Webster, Clayton G., Zhang, Guannan

    ISSN: 0898-1221, 1873-7668
    Vydáno: Elsevier Ltd 01.06.2016
    “…This work analyzes the overall computational complexity of the stochastic Galerkin finite element method (SGFEM…”
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  18. 18

    Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs Autor Nobile, F., Tamellini, L., Tempone, R.

    ISSN: 0029-599X, 0945-3245
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2016
    Vydáno v Numerische Mathematik (01.10.2016)
    “…: “On the optimal polynomial approximation of stochastic PDEs by Galerkin and collocation methods…”
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    Uncertainty Quantification of Crosstalk Using Stochastic Reduced Order Models Autor Fei, Zhouxiang, Huang, Yi, Zhou, Jiafeng, Xu, Qian

    ISSN: 0018-9375, 1558-187X
    Vydáno: New York IEEE 01.02.2017
    “… It is nonintrusive, accurate, efficient, and stable, thus could be a promising alternative to some well-established methods, such as the Stochastic Galerkin and stochastic collocation (SC) methods…”
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    Entropy Stable Galerkin Methods with Suitable Quadrature Rules for Hyperbolic Systems with Random Inputs Autor Zhong, Xinghui, Shu, Chi-Wang

    ISSN: 0885-7474, 1573-7691
    Vydáno: New York Springer US 01.07.2022
    Vydáno v Journal of scientific computing (01.07.2022)
    “…) approximations, which is one of the most popular methods for uncertainty quantification (UQ) and can be implemented with either the stochastic Galerkin (SG…”
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