Local sensing and nonlinear diffusion in models of chemotactic aggregation
By Ariane Trescases
Numerical methods for SDEs with additive noise and distributional drift: strong and weak error rates
By Elena Issoglio
Appears in collections : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèle, Exposés de recherche
In this talk we overview some of the challenges of cardiac modeling and simulation of the electrical depolarization of the heart. In particular, we will present a strategy allowing to avoid the 3D simulation of the thin atria depolarization but only solve an asymptotic consistent model on the mid-surface. In a second part, we present a strategy for estimating a cardiac electrophysiology model from front data measurements using sequential parallel data assimilation strategy.