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Stochastic partial differential equations
2014Second order stochastic partial differential equations are discussed from a rough path point of view. In the linear and finite-dimensional noise case we follow a Feynman–Kac approach which makes good use of concentration of measure results, as those obtained in Sect. 11.2.
Peter K. Friz, Martin Hairer
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SIAM Journal on Numerical Analysis, 2019
Strong and weak approximation errors of a spatial finite element method are analyzed for the stochastic partial differential equations (SPDEs) with one-sided Lipschitz coefficients, including the s...
J. Cui, Jialin Hong
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Strong and weak approximation errors of a spatial finite element method are analyzed for the stochastic partial differential equations (SPDEs) with one-sided Lipschitz coefficients, including the s...
J. Cui, Jialin Hong
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STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS AND TURBULENCE
Mathematical Models and Methods in Applied Sciences, 1991Stochastic partial differential equations are proposed in order to model some turbulence phenomena. A particular case (the stochastic Burgers equations) is studied. Global existence of solutions is proved. Their regularity is also studied in detail. It is shown that the solutions cannot possess too high regularity.
Brzeźniak, Z. +2 more
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On a jump-type stochastic fractional partial differential equation with fractional noises
Nonlinear Analysis: Theory, Methods & Applications, 2012Junfeng Liu, Litan Yan, Yuquan Cang
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Uncertain partial differential equation with application to heat conduction
Fuzzy Optimization and Decision Making, 2016Xiangfeng Yang +2 more
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Forward and Backward Mean-Field Stochastic Partial Differential Equation and Optimal Control
Chinese Annals of Mathematics. Series B, 2016This paper is mainly concerned with the solutions to both forward and backward mean-field stochastic partial differential equation and the corresponding optimal control problem for mean-field stochastic partial differential equation.
M. Tang, Qingxin Meng, Meijiao Wang
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Adaptive Concepts for Stochastic Partial Differential Equations
Journal of Scientific Computing, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreas Prohl, Christian Schellnegger
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ON STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS
Mathematics of the USSR-Sbornik, 1975In this paper we consider the Cauchy problem for second-order stochastic partial differential equations of parabolic type. We study linear and nonlinear equations for filtering Markov diffusion processes. Theorems on the existence, uniqueness and smoothness of solutions are proved.Bibliography: 21 items.
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On a Stochastic Partial Differential Equation with Non-local Diffusion
International audienceIn this paper, we prove existence, uniqueness and regularity for a class of stochastic partial differential equations with a fractional Laplacian driven by a space-time white noise in dimension one. The equation we consider may also
Pascal Azerad
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Asymptotic behavior of multiscale stochastic partial differential equations with Hölder coefficients
Journal of Functional Analysis, 2020In this paper, we study the asymptotic behavior of a semi-linear slow-fast stochastic partial differential equation with singular coefficients. Using the Poisson equation in Hilbert space, we first establish the strong convergence in the averaging ...
M. Rockner, Longjie Xie, Li Yang
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