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Stochastic Bilinear Partial Differential Equations
1975We prove existence and uniqueness theorems for a class of partial differential equations with a bilinear stochastic forcing term. We give both white noise and Wiener process [Ito integral] versions and indicate the interrelationships. Another feature is the use of semigroup theory, in contrast to the Lions-Magenes variational theory.
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Difference Methods for Stochastic Partial Differential Equations
ZAMM, 2002The deterministic theory of finite difference schemes is an important subject in order to approximate the solutions of partial differential equations. This article presents difference methods in order to approximate the solutions of stochastic partial differential equations of Itô-type, in particular hyperbolic equations.
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Stochastic Functional (Partial) Differential Equations
2013In this chapter we investigate Harnack/shift Harnack inequalities and derivative formulas for stochastic functional differential equations. In this case, the strong or mild solution is no longer Markovian. These inequalities and formulas are therefore established for the semigroup associated with the functional (or segment) solutions.
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Semilinear Stochastic Partial Differential Equations
2013In this chapter we establish Harnack/shift Harnack inequalities and derivative formulas for the semigroup associated with mild solutions of semilinear stochastic differential equations on Hilbert spaces. For simplicity, we consider only single-valued equations with a time-homogeneous linear operator; see Da Prato et al. (J. Funct. Anal.
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Solving a Nonlinear Fractional Stochastic Partial Differential Equation with Fractional Noise
, 2016Junfeng Liu, Litan Yan
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Stochastic difference equations and a stochastic partial differential equation for neutron transport
, 2012E. Allen
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