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(ii) For the stochastic term.
We opt here for the stochastic collocation.
Here, we also use this definition for the stochastic system.
Analogous results are proved for the stochastic Burgers equation.
First we can obtain an Ito-Taylor expansion for the stochastic case.
See [39] by Bashirov and Ghahramanlou for the counterpart for the stochastic systems.
This paper is concerned with random attractors for the stochastic Klein-Gordon-Schrödinger system.
The probability distribution of each hour for the stochastic case is presented in Table 4.
The existence and uniqueness of strong and weak solutions for the stochastic Boissonade system are established.
where Y is the infinitesimal generator for the stochastic process solution of SCS (7).
Open image in new window Fig. 13 Sequence of design variables used for the stochastic analysis.
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