Skip to main content
Erschienen in: Journal of Scientific Computing 2/2019

11.12.2018

Ensemble Time-Stepping Algorithm for the Convection-Diffusion Equation with Random Diffusivity

verfasst von: Ning Li, Joseph Fiordilino, Xinlong Feng

Erschienen in: Journal of Scientific Computing | Ausgabe 2/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, we develop two ensemble time-stepping algorithms to solve the convection-diffusion equation with random diffusion coefficients, forcing terms and initial conditions based on the pseudo-spectral stochastic collocation method. The key step of the pseudo-spectral stochastic collocation method is to solve a number of deterministic problems derived from the original stochastic convection-diffusion equation. In general, a common way to solve the set of deterministic problems is by using the backward differentiation formula, which requires us to store the coefficient matrix and right-hand-side vector multiple times, and solve them one by one. However, the proposed algorithm only need to solve a single linear system with one shared coefficient matrix and multiple right-hand-side vectors, reducing both storage required and computational cost of the solution process. The stability and error analysis of the first- and second-order ensemble time-stepping algorithms are provided. Several numerical experiments are presented to confirm the theoretical analyses and verify the feasibility and effectiveness of the proposed method.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Xiu, D., Hesthaven, J.S.: High-order collocation methods for differential equations with random inputs. SIAM J. Sci. Comput. 27, 1118–1139 (2005)MathSciNetCrossRefMATH Xiu, D., Hesthaven, J.S.: High-order collocation methods for differential equations with random inputs. SIAM J. Sci. Comput. 27, 1118–1139 (2005)MathSciNetCrossRefMATH
2.
Zurück zum Zitat Xiu, D.: Efficient collocational approach for parametric uncertainty analysis. Commun. Comput. Phys. 2, 293–309 (2007)MathSciNetMATH Xiu, D.: Efficient collocational approach for parametric uncertainty analysis. Commun. Comput. Phys. 2, 293–309 (2007)MathSciNetMATH
3.
Zurück zum Zitat Xiu, D.: Fast numerical methods for stochastic computations: a review. Commun. Comput. Phys. 5, 242–272 (2009)MathSciNetMATH Xiu, D.: Fast numerical methods for stochastic computations: a review. Commun. Comput. Phys. 5, 242–272 (2009)MathSciNetMATH
4.
Zurück zum Zitat Xiu, D.: Stochastic collocation methods: a survey. In: Ghanem, R., Higdon, D., Owhadi, H. (eds.) Handbook of Uncertainty Quantification. Springer, Cham (2017) Xiu, D.: Stochastic collocation methods: a survey. In: Ghanem, R., Higdon, D., Owhadi, H. (eds.) Handbook of Uncertainty Quantification. Springer, Cham (2017)
5.
Zurück zum Zitat Babuska, I., Tempone, R., Zouraris, G.E.: Galerkin finite element approximations of stochastic elliptic partial differential equations. SIAM J. Numer. Anal. 42, 800–825 (2004)MathSciNetCrossRefMATH Babuska, I., Tempone, R., Zouraris, G.E.: Galerkin finite element approximations of stochastic elliptic partial differential equations. SIAM J. Numer. Anal. 42, 800–825 (2004)MathSciNetCrossRefMATH
6.
Zurück zum Zitat Babuska, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J. Numer. Anal. 45, 1005–1034 (2007)MathSciNetCrossRefMATH Babuska, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J. Numer. Anal. 45, 1005–1034 (2007)MathSciNetCrossRefMATH
7.
Zurück zum Zitat Babuska, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM Rev. 52, 317–355 (2010)MathSciNetCrossRefMATH Babuska, I., Nobile, F., Tempone, R.: A stochastic collocation method for elliptic partial differential equations with random input data. SIAM Rev. 52, 317–355 (2010)MathSciNetCrossRefMATH
8.
Zurück zum Zitat 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, 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, 2309–2345 (2008)MathSciNetCrossRefMATH
9.
Zurück zum Zitat Zhang, G., Gunzburger, M.: Error analysis of a stochastic collocation method for parabolic partial differential equations with random input data. SIAM J. Numer. Anal. 50, 1922–1940 (2012)MathSciNetCrossRefMATH Zhang, G., Gunzburger, M.: Error analysis of a stochastic collocation method for parabolic partial differential equations with random input data. SIAM J. Numer. Anal. 50, 1922–1940 (2012)MathSciNetCrossRefMATH
10.
Zurück zum Zitat Zhang, Q., Li, Z., Zhang, Z.: A sparse grid stochastic collocation method for elliptic interface problems with random input. J. Sci. Comput. 67, 262–280 (2016)MathSciNetCrossRefMATH Zhang, Q., Li, Z., Zhang, Z.: A sparse grid stochastic collocation method for elliptic interface problems with random input. J. Sci. Comput. 67, 262–280 (2016)MathSciNetCrossRefMATH
11.
Zurück zum Zitat Tang, T., Zhou, T.: Recent developments in high order numerical methods for uncertainty quantification. Sci. Sin. Math. 45, 891–928 (2015) Tang, T., Zhou, T.: Recent developments in high order numerical methods for uncertainty quantification. Sci. Sin. Math. 45, 891–928 (2015)
12.
Zurück zum Zitat Tang, T., Zhou, T.: On discrete least-squares projection in unbounded domain with random evaluations and its application to parametric uncertainty quantification. SIAM J. Sci. Comput. 36, A2272–A2295 (2014)MathSciNetCrossRefMATH Tang, T., Zhou, T.: On discrete least-squares projection in unbounded domain with random evaluations and its application to parametric uncertainty quantification. SIAM J. Sci. Comput. 36, A2272–A2295 (2014)MathSciNetCrossRefMATH
13.
Zurück zum Zitat Jakeman, J.D., Narayan, A., Zhou, T.: A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions. SIAM J. Sci. Comput. 39, A1114–A1144 (2017)MathSciNetCrossRefMATH Jakeman, J.D., Narayan, A., Zhou, T.: A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions. SIAM J. Sci. Comput. 39, A1114–A1144 (2017)MathSciNetCrossRefMATH
14.
15.
Zurück zum Zitat Guo, L., Narayan, A., Zhou, T., Chen, Y.: Stochastic collocation methods via \(\ell _1\) minimization using randomized quadratures. SIAM J. Sci. Comput. 39, A333–A359 (2017)CrossRefMATH Guo, L., Narayan, A., Zhou, T., Chen, Y.: Stochastic collocation methods via \(\ell _1\) minimization using randomized quadratures. SIAM J. Sci. Comput. 39, A333–A359 (2017)CrossRefMATH
16.
Zurück zum Zitat Chen, L., Zheng, B., Lin, G., Voulgarakis, N.: A two-level stochastic collocation method for semilinear elliptic equations with random coefficients. J. Comput. Appl. Math. 315, 195–207 (2017)MathSciNetCrossRefMATH Chen, L., Zheng, B., Lin, G., Voulgarakis, N.: A two-level stochastic collocation method for semilinear elliptic equations with random coefficients. J. Comput. Appl. Math. 315, 195–207 (2017)MathSciNetCrossRefMATH
17.
Zurück zum Zitat Fishman, G.: Monte Carlo: Concepts, Algorithms, and Applications. Springer, New York (1996)CrossRefMATH Fishman, G.: Monte Carlo: Concepts, Algorithms, and Applications. Springer, New York (1996)CrossRefMATH
18.
19.
Zurück zum Zitat Jiang, N., Kaya, S., Layton, W.: Analysis of model variance for ensemble based turbulence modeling. Comput. Meth. Appl. Math. 15, 173–188 (2015)MathSciNetMATH Jiang, N., Kaya, S., Layton, W.: Analysis of model variance for ensemble based turbulence modeling. Comput. Meth. Appl. Math. 15, 173–188 (2015)MathSciNetMATH
23.
Zurück zum Zitat Fiordilino, J.A.: A second order ensemble timestepping algorithm for natural convection. SIAM J. Numer. Anal. 56, 816–837 (2018)MathSciNetCrossRefMATH Fiordilino, J.A.: A second order ensemble timestepping algorithm for natural convection. SIAM J. Numer. Anal. 56, 816–837 (2018)MathSciNetCrossRefMATH
24.
Zurück zum Zitat Fiordilino, J.A., Khankan, S.: Ensemble timestepping algorithms for natural convection. Int. J. Numer. Anal. Model. 15, 524–551 (2018)MathSciNetMATH Fiordilino, J.A., Khankan, S.: Ensemble timestepping algorithms for natural convection. Int. J. Numer. Anal. Model. 15, 524–551 (2018)MathSciNetMATH
25.
Zurück zum Zitat Mohebujjaman, M., Rebholz, L.: An efficient algorithm for computation of MHD flow ensembles. Comput. Methods Appl. Math. 17, 121–137 (2017)MathSciNetCrossRefMATH Mohebujjaman, M., Rebholz, L.: An efficient algorithm for computation of MHD flow ensembles. Comput. Methods Appl. Math. 17, 121–137 (2017)MathSciNetCrossRefMATH
26.
Zurück zum Zitat Fiordilino, J.A.: Ensemble timestepping algorithms for the heat equation with uncertain conductivity. Numer. Meth. Partial. Differ. Eqs. 34, 1901–1916 (2018)MathSciNetCrossRefMATH Fiordilino, J.A.: Ensemble timestepping algorithms for the heat equation with uncertain conductivity. Numer. Meth. Partial. Differ. Eqs. 34, 1901–1916 (2018)MathSciNetCrossRefMATH
27.
Zurück zum Zitat Luo, Y., Wang, Z.: An ensemble algorithm for numerical solutions to deterministic and random parabolic PDEs. SIAM J. Numer. Anal. 56, 859–876 (2018)MathSciNetCrossRefMATH Luo, Y., Wang, Z.: An ensemble algorithm for numerical solutions to deterministic and random parabolic PDEs. SIAM J. Numer. Anal. 56, 859–876 (2018)MathSciNetCrossRefMATH
28.
Zurück zum Zitat Phoon, K.K., Huang, S.P., Quek, S.T.: Simulation of second-order processes using Karhunen-Loève expansion. Comput. Struct. 80, 1049–1060 (2002)CrossRef Phoon, K.K., Huang, S.P., Quek, S.T.: Simulation of second-order processes using Karhunen-Loève expansion. Comput. Struct. 80, 1049–1060 (2002)CrossRef
29.
Zurück zum Zitat Zhang, D., Lu, Z.: An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions. J. Comput. Phys. 194, 773–794 (2004)CrossRefMATH Zhang, D., Lu, Z.: An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions. J. Comput. Phys. 194, 773–794 (2004)CrossRefMATH
30.
Zurück zum Zitat Øksendal, B.: Stochastic Differential Equations: an Introduction with Applications. Springer, Berlin (2003)CrossRefMATH Øksendal, B.: Stochastic Differential Equations: an Introduction with Applications. Springer, Berlin (2003)CrossRefMATH
31.
Zurück zum Zitat Brenner, S., Scott, R.: The Mathematical Theory of Finite Element Methods, vol. 15. Springer, New York (2007) Brenner, S., Scott, R.: The Mathematical Theory of Finite Element Methods, vol. 15. Springer, New York (2007)
Metadaten
Titel
Ensemble Time-Stepping Algorithm for the Convection-Diffusion Equation with Random Diffusivity
verfasst von
Ning Li
Joseph Fiordilino
Xinlong Feng
Publikationsdatum
11.12.2018
Verlag
Springer US
Erschienen in
Journal of Scientific Computing / Ausgabe 2/2019
Print ISSN: 0885-7474
Elektronische ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-018-0890-8

Weitere Artikel der Ausgabe 2/2019

Journal of Scientific Computing 2/2019 Zur Ausgabe

Premium Partner