Rolf Krause | DeepAI

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∙ 05/05/2021

Space-time multilevel quadrature methods and their application for cardiac electrophysiology

We present a novel approach which aims at high-performance uncertainty q...

0 Seif Ben Bader, et al. ∙

∙ 04/12/2021

On the Globalization of ASPIN Employing Trust-Region Control Strategies – Convergence Analysis and Numerical Examples

The parallel solution of large scale non-linear programming problems, wh...

0 Christian Gross, et al. ∙

∙ 03/26/2021

Multilevel Active-Set Trust-Region (MASTR) Method for Bound Constrained Minimization

We introduce a novel variant of the recursive multilevel trust-region (R...

0 Alena Kopaničáková, et al. ∙

∙ 03/25/2021

A Matrix-free Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods

In this work, we propose a multigrid preconditioner for Jacobian-free Ne...

0 Hardik Kothari, et al. ∙

∙ 02/22/2021

Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks

Electroanatomical maps are a key tool in the diagnosis and treatment of ...

0 Thomas Grandits, et al. ∙

∙ 02/19/2021

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models

The personalization of cardiac models is the cornerstone of patient-spec...

0 Thomas Grandits, et al. ∙

∙ 02/16/2021

Multigrid and saddle-point preconditioners for unfitted finite element modelling of inclusions

In this work, we consider the modeling of inclusions in the material usi...

0 Hardik Kothari, et al. ∙

∙ 10/30/2020

Space-time shape uncertainties in the forward and inverse problem of electrocardiography

In electrocardiography, the "classic" inverse problem consists of findin...

0 Lia Gander, et al. ∙

∙ 07/25/2020

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

Non-linear phase field models are increasingly used for the simulation o...

0 Patrick Zulian, et al. ∙

∙ 06/28/2020

A Multilevel Approach to Training

We propose a novel training method based on nonlinear multilevel minimiz...

0 Vanessa Braglia, et al. ∙

∙ 06/23/2020

An experimental comparison of a space-time multigrid method with PFASST for a reaction-diffusion problem

We consider two parallel-in-time approaches applied to a (reaction) diff...

0 Pietro Benedusi, et al. ∙

∙ 06/11/2020

Frontiers in Mortar Methods for Isogeometric Analysis

Complex geometries as common in industrial applications consist of multi...

0 Christian Hesch, et al. ∙

∙ 04/13/2020

Multilevel Minimization for Deep Residual Networks

We present a new multilevel minimization framework for the training of d...

0 Lisa Gaedke-Merzhäuser, et al. ∙

∙ 12/01/2019

A Multigrid Method for a Nitsche-based Extended Finite Element Method

We present a tailored multigrid method for linear problems stemming from...

0 Hardik Kothari, et al. ∙

∙ 11/14/2019

Space-time multilevel Monte Carlo methods and their application to cardiac electrophysiology

We present a novel approach aimed at high-performance uncertainty quanti...

0 Seif Ben Bader, et al. ∙

∙ 03/01/2019

Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture

The simulation of crack initiation and propagation in an elastic materia...

0 Alena Kopaničáková, et al. ∙

∙ 12/31/2018

A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets

Clustering is a technique for the analysis of datasets obtained by empir...

18 Diego Ulisse Pizzagalli, et al. ∙

∙ 08/21/2018

Smart energy models for atomistic simulations using a DFT-driven multifidelity approach

The reliability of atomistic simulations depends on the quality of the u...

0 Luca Messina, et al. ∙

∙ 05/17/2017

Parallel-in-Space-and-Time Simulation of the Three-Dimensional, Unsteady Navier-Stokes Equations for Incompressible Flow

In this paper we combine the Parareal parallel-in-time method together w...

0 Roberto Croce, et al. ∙

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