An approximate solution for stochastic Burgers’ equation driven by white noise
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-022-02018-7.pdf
Reference34 articles.
1. Alabert A, Gyongy I (2006) On numerical approximation of stochastic Burgers’ equation. In: From stochastic calculus to mathematical finance, 1–15
2. Appley JA, Devin S, Reynolda DW (2007) Almost sure convergence of solutions of linear stochastic Volterra equations to non equilibrium limits. J Integral Equ Appl 19:405–437. https://doi.org/10.1216/jiea/1192628616
3. Babuška I, Nobile F, Tempone R (2007) A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J Numer Anal 45(3):1005–1034
4. Berger MA, Mizel VJ (1980) Volterra equations with Ito integrals I. J Integral Equ: 2187-245. https://www.jstor.org/stable/26164035
5. Bertini L, Giacomin G (1997) Stochastic Burgers and KPZ equations from particle systems. Commun Math Phys 183(3):571–607
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1. Convergence of finite element solution of stochastic Burgers equation;Electronic Research Archive;2024
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