activity
20242026
collaborators

5 papers

math.NA2026

Splitting Schemes for ODEs with Goal-Oriented Error Estimation

Erik Weyl, Andreas Bartel, Manuel Schaller

We present a hybrid a-priori/a-posteriori goal oriented error estimator for a combination of dynamic iteration-based solution of ordinary differential equations discretized by fini…

math.NA2026

Structure-Preserving Operator Splitting via JR-Decomposition for Circuit Models

Andreas Bartel, Malak Diab

We investigate circuit models, namely, modified nodal analysis (MNA) in the port-Hamiltonian framework. Based on this, the JR-decomposition for the numerical treatment would offer…

math.NA2026

Goal-Oriented Time Adaptivity for Linear Port-Hamiltonian Differential-Algebraic Equations of Index~1

Aashutosh Sharma, Andreas Bartel, Manuel Schaller

Port-Hamiltonian systems provide a highly-structured framework for modeling of physical systems. By definition, they encode a balance equation relating energy changes to supplied a…

physics.flu-dyn2025

Perfectly Matched Layers and Characteristic Boundaries in Lattice Boltzmann: Accuracy vs Cost

Friedemann Klass, Alessandro Gabbana, Andreas Bartel

Artificial boundary conditions (BCs) play a ubiquitous role in numerical simulations of transport phenomena in several diverse fields, such as fluid dynamics, electromagnetism, aco…

math.NA2024

Goal-oriented time adaptivity for port-Hamiltonian systems

Andreas Bartel, Manuel Schaller

Port-Hamiltonian systems provide an energy-based modeling paradigm for dynamical input-state-output systems. At their core, they fulfill an energy balance relating stored, dissipat…