Stochastic Equations for Complex Systems Theoretical and Computational Topics /

Mathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes. Given the random nature of such systems and the recognized relevance of randomness,...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Heinz, Stefan (Éditeur intellectuel), Bessaih, Hakima (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2015.
Édition:1st ed. 2015.
Collection:Mathematical Engineering,
Sujets:
Probabilities.
Fluid mechanics.
Mathematics-Data processing.
Nonlinear Optics.
Dynamics.
Nonlinear theories.
Probability Theory.
Engineering Fluid Dynamics.
Computational Science and Engineering.
Applied Dynamical Systems.
Accès en ligne:Texto Completo
Table des matières:
  • Stochastic differential equations
  • Malliavin Calculus
  • Monte Carlo methods
  • Multiscale models
  • Molecular dynamics
  • Stochastic methods for turbulent flows.

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