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Published in: Journal of Scientific Computing 3/2018

19-07-2017

A Third Order Hierarchical Basis WENO Interpolation for Sparse Grids with Application to Conservation Laws with Uncertain Data

Author: Oliver Kolb

Published in: Journal of Scientific Computing | Issue 3/2018

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Abstract

In this paper, we introduce a third order hierarchical basis WENO interpolation, which possesses similar accuracy and stability properties as usual WENO interpolations. The main motivation for the hierarchical approach is the direct applicability on sparse grids. This is for instance of large practical interest in the numerical solution of conservation laws with uncertain data, where discontinuities in the physical domain often carry over to the (potentially high-dimensional) stochastic domain. For this, we apply the introduced hierarchical basis WENO interpolation within a non-intrusive collocation method and present first results on 2- and 3-dimensional sparse grids.

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Literature
1.
go back to reference Abgrall, R.: A simple, flexible and generic deterministic approach to uncertainty quantifications in non linear problems: application to fluid flow problems. INRIA Report, September 2008 Abgrall, R.: A simple, flexible and generic deterministic approach to uncertainty quantifications in non linear problems: application to fluid flow problems. INRIA Report, September 2008
2.
go back to reference Abgrall, R., Congedo, P., Corre, C., Galéra, S.: A simple semi-intrusive method for uncertainty quantification of shocked flows, comparison with a non-intrusive polynomial chaos method. In: Pereira, J., Sequira, A. (eds.) V European Conference on Computational Fluid Dynamics (2010) Abgrall, R., Congedo, P., Corre, C., Galéra, S.: A simple semi-intrusive method for uncertainty quantification of shocked flows, comparison with a non-intrusive polynomial chaos method. In: Pereira, J., Sequira, A. (eds.) V European Conference on Computational Fluid Dynamics (2010)
3.
go back to reference Abgrall, R., Congedo, P.M.: A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems. J. Comput. Phys. 235(C), 828–845 (2013)MathSciNetCrossRef Abgrall, R., Congedo, P.M.: A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems. J. Comput. Phys. 235(C), 828–845 (2013)MathSciNetCrossRef
4.
go back to reference Aràndiga, F., Baeza, A., Belda, A.M., Mulet, P.: Analysis of WENO schemes for full and global accuracy. SIAM J. Numer. Anal. 49(2), 893–915 (2011)MathSciNetCrossRefMATH Aràndiga, F., Baeza, A., Belda, A.M., Mulet, P.: Analysis of WENO schemes for full and global accuracy. SIAM J. Numer. Anal. 49(2), 893–915 (2011)MathSciNetCrossRefMATH
5.
go back to reference Babuška, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM Rev. 52(2), 317–355 (2010)MathSciNetCrossRefMATH Babuška, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM Rev. 52(2), 317–355 (2010)MathSciNetCrossRefMATH
6.
go back to reference Barth, T.: Non-intrusive uncertainty propagation with error bounds for conservation laws containing discontinuities. In: Bijl, H., Lucor, D., Mishra, S., Schwab, C. (eds.) Uncertainty Quantification in Computational Fluid Dynamics. Lecture Notes in Computational Science and Engineering, vol. 92, pp. 1–57. Springer, Berlin (2013) Barth, T.: Non-intrusive uncertainty propagation with error bounds for conservation laws containing discontinuities. In: Bijl, H., Lucor, D., Mishra, S., Schwab, C. (eds.) Uncertainty Quantification in Computational Fluid Dynamics. Lecture Notes in Computational Science and Engineering, vol. 92, pp. 1–57. Springer, Berlin (2013)
8.
go back to reference Cravero, I., Semplice, M.: On the accuracy of WENO and CWENO reconstructions of third order on nonuniform meshes. J. Sci. Comput. 67(3), 1219–1246 (2016)MathSciNetCrossRefMATH Cravero, I., Semplice, M.: On the accuracy of WENO and CWENO reconstructions of third order on nonuniform meshes. J. Sci. Comput. 67(3), 1219–1246 (2016)MathSciNetCrossRefMATH
9.
go back to reference Ghanem, R.G., Spanos, P.D.: Stochastic Finite Elements. Springer, Berlin (1991)MATH Ghanem, R.G., Spanos, P.D.: Stochastic Finite Elements. Springer, Berlin (1991)MATH
10.
go back to reference Gottlieb, D., Xiu, D.: Galerkin method for wave equations with uncertain coefficients. Commun. Comput. Phys. 3(2), 505–518 (2008)MathSciNetMATH Gottlieb, D., Xiu, D.: Galerkin method for wave equations with uncertain coefficients. Commun. Comput. Phys. 3(2), 505–518 (2008)MathSciNetMATH
11.
go back to reference Harten, A., Engquist, B., Osher, S., Chakravarthy, S.R.: Uniformly high order accurate essentially non-oscillatory schemes. III. J. Comput. Phys. 71, 231–303 (1987)MathSciNetCrossRefMATH Harten, A., Engquist, B., Osher, S., Chakravarthy, S.R.: Uniformly high order accurate essentially non-oscillatory schemes. III. J. Comput. Phys. 71, 231–303 (1987)MathSciNetCrossRefMATH
12.
14.
15.
go back to reference Kolb, O.: On the full and global accuracy of a compact third order WENO scheme: Part II. In: Karasözen, B., Manguoğlu, M., Tezer-Sezgin, M., Göktepe, S., Uğur, Ö. (eds.) Numerical Mathematics and Advanced Applications ENUMATH 2015, pp. 53–62. Springer, Berlin (2016) Kolb, O.: On the full and global accuracy of a compact third order WENO scheme: Part II. In: Karasözen, B., Manguoğlu, M., Tezer-Sezgin, M., Göktepe, S., Uğur, Ö. (eds.) Numerical Mathematics and Advanced Applications ENUMATH 2015, pp. 53–62. Springer, Berlin (2016)
17.
go back to reference Mishra, S., Schwab, C.: Sparse tensor multi-level Monte Carlo finite volume methods for hyperbolic conservation laws with random initial data. Math. Comput. 81(280), 1979–2018 (2012)MathSciNetCrossRefMATH Mishra, S., Schwab, C.: Sparse tensor multi-level Monte Carlo finite volume methods for hyperbolic conservation laws with random initial data. Math. Comput. 81(280), 1979–2018 (2012)MathSciNetCrossRefMATH
18.
go back to reference Mishra, S., Schwab, C., Šukys, J.: Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions. J. Comput. Phys. 231(8), 3365–3388 (2012)MathSciNetCrossRefMATH Mishra, S., Schwab, C., Šukys, J.: Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions. J. Comput. Phys. 231(8), 3365–3388 (2012)MathSciNetCrossRefMATH
19.
go back to reference Nobile, F., Tempone, R., Webster, C.G.: A sparse grid stochastic collocation method for partial differential equations with random input data. SIAM J. Numer. Anal. 46(5), 2309–2345 (2008)MathSciNetCrossRefMATH Nobile, F., Tempone, R., Webster, C.G.: A sparse grid stochastic collocation method for partial differential equations with random input data. SIAM J. Numer. Anal. 46(5), 2309–2345 (2008)MathSciNetCrossRefMATH
20.
go back to reference Poëtte, G., Després, B., Lucor, D.: Uncertainty quantification for systems of conservation laws. J. Comput. Phys. 228, 2443–2467 (2009)MathSciNetCrossRefMATH Poëtte, G., Després, B., Lucor, D.: Uncertainty quantification for systems of conservation laws. J. Comput. Phys. 228, 2443–2467 (2009)MathSciNetCrossRefMATH
21.
go back to reference Poëtte, G., Després, B., Lucor, D.: Adaptive hybrid spectral methods for stochastic systems of conservation laws. Preprint submitted to Elsevier (2010) Poëtte, G., Després, B., Lucor, D.: Adaptive hybrid spectral methods for stochastic systems of conservation laws. Preprint submitted to Elsevier (2010)
22.
go back to reference Sánchez-Linares, C., de la Asunción, M., Castro, M., Mishra, S., Šukys, J.: Multi-level Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslides-generated tsunamis. Appl. Math. Model. 39(23–24), 7211–7226 (2015)MathSciNetCrossRef Sánchez-Linares, C., de la Asunción, M., Castro, M., Mishra, S., Šukys, J.: Multi-level Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslides-generated tsunamis. Appl. Math. Model. 39(23–24), 7211–7226 (2015)MathSciNetCrossRef
23.
go back to reference Sod, G.A.: A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws. J. Comput. Phys. 27(1), 1–31 (1978)MathSciNetCrossRefMATH Sod, G.A.: A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws. J. Comput. Phys. 27(1), 1–31 (1978)MathSciNetCrossRefMATH
24.
go back to reference Tokareva, S., Schwab, C., Mishra, S.: High order SFV and mixed SDG/FV methods for the uncertainty quantification in multidimensional conservation laws. In: Abgrall, R., Beaugendre, H., Congedo, P., Dobrzynski, C., Perrier, V., Ricchiuto, M. (eds.) High Order Nonlinear Numerical Schemes for Evolutionary PDEs, pp. 109–133. Springer International Publishing, Switzerland (2014) Tokareva, S., Schwab, C., Mishra, S.: High order SFV and mixed SDG/FV methods for the uncertainty quantification in multidimensional conservation laws. In: Abgrall, R., Beaugendre, H., Congedo, P., Dobrzynski, C., Perrier, V., Ricchiuto, M. (eds.) High Order Nonlinear Numerical Schemes for Evolutionary PDEs, pp. 109–133. Springer International Publishing, Switzerland (2014)
25.
go back to reference Tryoen, J., Le Maître, O., Ndjinga, M., Ern, A.: Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems. J. Comput. Phys. 229(18), 6485–6511 (2010)MathSciNetCrossRefMATH Tryoen, J., Le Maître, O., Ndjinga, M., Ern, A.: Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems. J. Comput. Phys. 229(18), 6485–6511 (2010)MathSciNetCrossRefMATH
26.
go back to reference Wan, X., Karniadakis, G.E.: An adaptive multi-element generalized polynomial chaos method for stochastic differential equations. J. Comput. Phys. 209, 617–642 (2005)MathSciNetCrossRefMATH Wan, X., Karniadakis, G.E.: An adaptive multi-element generalized polynomial chaos method for stochastic differential equations. J. Comput. Phys. 209, 617–642 (2005)MathSciNetCrossRefMATH
27.
go back to reference Wan, X., Karniadakis, G.E.: Multi-element generalized polynomial chaos for arbitrary probability measures. SIAM J. Sci. Comput. 28, 901–928 (2006)MathSciNetCrossRefMATH Wan, X., Karniadakis, G.E.: Multi-element generalized polynomial chaos for arbitrary probability measures. SIAM J. Sci. Comput. 28, 901–928 (2006)MathSciNetCrossRefMATH
28.
go back to reference Witteveen, J.A., Iaccarino, G.: Essentially non-oscillatory stencil selection and subcell resolution in uncertainty quantification. In: Bijl, H., Lucor, D., Mishra, S., Schwab, C. (eds.) Uncertainty Quantification in Computational Fluid Dynamics. Lecture Notes in Computational Science and Engineering, vol. 92, pp. 295–333. Springer, Berlin (2013) Witteveen, J.A., Iaccarino, G.: Essentially non-oscillatory stencil selection and subcell resolution in uncertainty quantification. In: Bijl, H., Lucor, D., Mishra, S., Schwab, C. (eds.) Uncertainty Quantification in Computational Fluid Dynamics. Lecture Notes in Computational Science and Engineering, vol. 92, pp. 295–333. Springer, Berlin (2013)
Metadata
Title
A Third Order Hierarchical Basis WENO Interpolation for Sparse Grids with Application to Conservation Laws with Uncertain Data
Author
Oliver Kolb
Publication date
19-07-2017
Publisher
Springer US
Published in
Journal of Scientific Computing / Issue 3/2018
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-017-0503-y

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