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Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry
Information Geometry is a useful tool to study and compare the solutions of a Stochastic Differential Equations (SDEs) for non-equilibrium systems. As an alternative method to solving the Fokker–Planck equation, we propose a new method to calculate time-dependent probability density functions (PDFs)...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407417/ https://www.ncbi.nlm.nih.gov/pubmed/36010777 http://dx.doi.org/10.3390/e24081113 |