Dellnitz, M. and Klus, S. and Ziessler, A.
(2017)
*A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty.*
SIAM Journal on Applied Dynamical Systems, 16
(1).
pp. 120-138.
ISSN 1536-0040

Full text not available from this repository.

## Abstract

In this article, we develop a set-oriented numerical methodology which allows us to perform uncertainty quantification (UQ) for dynamical systems from a global point of view. That is, for systems with uncertain parameters we approximate the corresponding global attractors and invariant measures in the related stochastic setting. Our methods do not rely on generalized polynomial chaos techniques. Rather, we extend classical set-oriented methods designed for deterministic dynamical systems [M. Dellnitz and A. Hohmann, Numer. Math., 75 (1997), pp. 293--317; M. Dellnitz and O. Junge, SIAM J. Numer. Anal., 36 (1999), pp. 491--515] to the UQ-context, and this allows us to analyze the long-term uncertainty propagation. The algorithms have been integrated into the software package GAIO [M. Dellnitz, G. Froyland, and O. Junge, Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems, Springer, Berlin, 2001, pp. 145--174], and we illustrate the use and efficiency of these techniques with a couple of numerical examples.

Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences |

Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group |

ID Code: | 2008 |

Deposited By: | BioComp Admin |

Deposited On: | 20 Jan 2017 10:06 |

Last Modified: | 27 Nov 2017 10:20 |

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