We address a data-driven approach to the numerical approximation of coarse-grained stable,unstable and center manifolds of microscopic/stochastic and large-scale black-box simulators. Our approach, which makes use of data derived by short-time simulations is based on the Equation-Free framework for multiscale computations.

Equation-Free Computation of Invariant Manifolds of Microscopic Simulators / Siettos, Konstantinos; Russo, Lucia. - (2019). (Intervento presentato al convegno AICHE Annual Meeting tenutosi a Orlando, USA nel 12 November, 2019).

Equation-Free Computation of Invariant Manifolds of Microscopic Simulators

Konstantinos Siettos
;
2019

Abstract

We address a data-driven approach to the numerical approximation of coarse-grained stable,unstable and center manifolds of microscopic/stochastic and large-scale black-box simulators. Our approach, which makes use of data derived by short-time simulations is based on the Equation-Free framework for multiscale computations.
2019
Equation-Free Computation of Invariant Manifolds of Microscopic Simulators / Siettos, Konstantinos; Russo, Lucia. - (2019). (Intervento presentato al convegno AICHE Annual Meeting tenutosi a Orlando, USA nel 12 November, 2019).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/808114
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact