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In this paper, we introduce a new classical fractional particle model incorporating fractional first derivatives. This model represents a natural extension of the standard classical particle with kinetic energy being quadratic in fractional first der
Externí odkaz:
http://arxiv.org/abs/2407.14552
Autor:
Abrudan, Mircea-Gheorghe
Publikováno v:
TABOR. Revistă de cultură şi spiritualitate românească / TABOR. Romanian Review for Culture and Spirituality. XI(07):132-134
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=903224
This paper is devoted to the problem of approximating non-linear Stochastic Partial Differential Equations (SPDEs) via interacting particle systems. In particular, we consider the Stochastic McKean-Vlasov equation, which is the McKean-Vlasov (MKV) PD
Externí odkaz:
http://arxiv.org/abs/2404.07488
Akademický článek
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Autor:
Ota, Radu
Publikováno v:
Apulum. 56(1):268-271
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=810031
In recent work, the authors have developed a generic methodology for calibrating the noise in fluid dynamics stochastic partial differential equations where the stochasticity was introduced to parametrize subgrid-scale processes. The stochastic param
Externí odkaz:
http://arxiv.org/abs/2403.10578
Autor:
Crisan, Dan, Lang, Oana
For a class of evolution equations that possibly have only local solutions, we introduce a stochastic component that ensures that the solutions of the corresponding stochastically perturbed equations are global. The class of partial differential equa
Externí odkaz:
http://arxiv.org/abs/2403.05923
Autor:
Shevchenko, Igor, Crisan, Dan
This study proposes deterministic and stochastic energy-aware hybrid models that should enable simulations of idealized and primitive-equations Geophysical Fluid Dynamics (GFD) models at low resolutions without compromising on quality compared with h
Externí odkaz:
http://arxiv.org/abs/2402.13328
In this study, we explore data assimilation for the Stochastic Camassa-Holm equation through the application of the particle filtering framework. Specifically, our approach integrates adaptive tempering, jittering, and nudging techniques to construct
Externí odkaz:
http://arxiv.org/abs/2402.06927
Autor:
Almudaifer, Abdullateef I., Covington, Whitney, Hairston, JaMor, Deitch, Zachary, Anand, Ankit, Carroll, Caleb M., Crisan, Estera, Bradford, William, Walter, Lauren, Ellen, Eaton, Feldman, Sue S., Osborne, John D.
Background: The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject. Existing models for determining modifiers of clinical entiti
Externí odkaz:
http://arxiv.org/abs/2401.15222