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Therefore, a numerical implementation method is as follows.
This is the main conclusion of the article, which contains the existence and stability of random periodic solutions, the numerical implementation method and the mean-square convergence theorem.
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We give also a special emphasis on the details of the numerical implementation of the method.
The numerical implementation of the method is discussed and several computational examples are given.
The numerical implementation of the method along with several examples is discussed in an accompanying paper.
The numerical implementation of the method is found to be accurate and efficient.
The main subject of the paper is numerical implementation of the method in the Matlab environment.
The numerical implementation of the method is closely considered and an application to an industrial anaerobic digester is detailed.
A fully numerical implementation of the method is used to approximate large-amplitude mean threshold crossing intervals, and comparisons with time domain simulations are presented.
A convergence theory for the algorithm is established, and an effective numerical implementation of the method is presented for flux-conserving tokamak equilibria.
Some important features with respect to the numerical implementation of this method are high-lighted, like the approximation of the Jacobian matrix and the continuation of integration after a mesh redistribution.
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