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Solving Spdes By A Least Squares Method

Authors: Manouzi, Hassan;

Solving Spdes By A Least Squares Method

Abstract

We present in this paper a useful strategy to solve stochastic partial differential equations (SPDEs) involving stochastic coefficients. Using the Wick-product of higher order and the Wiener-Itˆo chaos expansion, the SPDEs is reformulated as a large system of deterministic partial differential equations. To reduce the computational complexity of this system, we shall use a decomposition-coordination method. To obtain the chaos coefficients in the corresponding deterministic equations, we use a least square formulation. Once this approximation is performed, the statistics of the numerical solution can be easily evaluated.

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12 references, page 1 of 2

[1] F. E. Benth and J. Gjerde, Convergence rates for finite element approximations of stochastic partial differential equations, Stochastics Stochastics Rep. 63 (1998) 313-326.

[2] R. Glowinski, Numerical methods for nonlinear variational problems. Springer, 2008.

[3] H. Holden, T. Lindstrøm, B. Øksendal, J. Ubøe, and T.-S. Zhang, The pressure equation for fluid flow in a stochastic medium, Potential Analysis, 4 (1995) 655-674.

[4] H. Holden, B. Øksendal, J. Ubøe, and T.-S. Zhang, Stochastic Partial Differential Equations. A Modeling, White Noise Functional Approach, Probability and its Applications. Birkha¨user, Boston, 1996.

[5] M. Kardar, Y.C. Zhang, Scaling of Directed Polymers in Random Media, Physical Review Letters, 58 (1987) 2087-2090.

[6] H. Manouzi, A finite element approximation of linear stochastic PDE's equations driven by a multiplicative white noise, International Journal of Computer Mathematics, 85 (2008) 527-546. [OpenAIRE]

[7] T. G. Theting, Solving Wick-stochastic boundary value problems using a finite element method, Stochastics Stochastics Rep. 70 (200) 241-270.

[8] T.G. Theting, Solving Parabolic Wick-Stochastic Boundary Value Problems Using a Finite Element Method, Stochast. Stochast. Reports. 75 (2003) 57-92. [OpenAIRE]

[9] G. Va˚ge, Hilbert space methods applied to elliptic stochastic partial differential equations, Stochastic analysis and related topics, Stochastic analysis and related topics, Progr. Probab. 38, Birkha¨user Boston, Boston, MA, 1996, pp. 281-294.

[10] G.Va˚ge, Variational Methods for PDEs Applied to Stochastic Partial Differential Equations, Math. Scand. 82 (1998) 113-137.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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