Stochastic models for forward systems of nonlinear parabolic equations

Author:

Belopolskaya YanaORCID

Funder

Russian Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference20 articles.

1. Amann H (1989) Dynamic theory of quasilinear parabolic systems. III. Math Z 202:219–250

2. Artemjev SS, Marchenko MA, Kornejev VD, Yakunin MA, Ivanov AA, Smirnov DD (2016) Analysis of stochastic oscilations by Monte Carlo method on supercompputers. SB RAS, Novosibirsk

3. Belopolskaya Y (2014) Probabilistic counterparts for strongly coupled parabolic systems. In: Springer Proceedings in Mathematics & Statistics. Topics in Statistical Simulation. v 114:33–42

4. Belopolskaya Y (2016) Probabilistic representation of the Cauchy problem solutions for systems of nonlinear parabolic equations. Glob Stoch Anal 3(1):25–32

5. Belopolskaya Y (2016) Probabilistic model for the Lotka–Volterra system with cross-diffusion. J Math Sci 214(4):425–442

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