Two structure-preserving time discretizations for gradient flow. An application to GENERIC systems seminar

Location
virtual
Dates
Tuesday 30 November 2021 (15:00-16:00)
data-science-about

The Interdisciplinary Institute for Data Science and AI invites you to a seminar on two structure-preserving time discretizations for gradient flow with Lara Trussardi (University of Constance). The equality between dissipation and energy drop is a structural property of gradient-flow dynamics. The classical implicit Euler scheme fails to reproduce this equality at the discrete level. We discuss two modifications of the Euler scheme satisfying an exact energy equality at the discrete level. Eventually, we address extensions to GENERIC flows and implement the case of the damped harmonic oscillator.

You can attend the virtually by clicking the Zoom link.

If you have a question about this talk, please contact Hong Duong

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