activity
20122026
most citedRelative energy for the Korteweg theory and related Hamiltonian flows in gas dynamics

54 citations · 299 across the 38 of their papers we have counts for

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27 papers · 1 filter

math.NA2025

A posteriori analysis for nonlinear convection-diffusion systems

Andreas Dedner, Jan Giesselmann, Kiwoong Kwon +1

This work provides reliable a posteriori error estimates for Runge-Kutta discontinuous Galerkin approximations of nonlinear convection-diffusion systems. The classes of systems we…

math.NA2025

A posteriori error control for a finite volume scheme for a cross-diffusion model of ion transport

Arne Berrens, Jan Giesselmann

We derive a reliable a posteriori error estimate for a cell-centered finite volume scheme approximating a cross-diffusion system modeling ion transport through nanopores. To this e…

math.NA2024

Energy-consistent Petrov-Galerkin time discretization of port-Hamiltonian systems

Jan Giesselmann, Attila Karsai, Tabea Tscherpel

For a general class of nonlinear port-Hamiltonian systems we develop a high-order time discretization scheme with certain structure preservation properties. The finite or infinite-…

math.NA2024

A priori error estimates of Runge-Kutta discontinuous Galerkin schemes to smooth solutions of fractional conservation laws

Fabio Leotta, Jan Giesselmann

We give a priori error estimates of second order in time fully explicit Runge-Kutta discontinuous Galerkin schemes using upwind fluxes to smooth solutions of scalar fractional cons…

math.NA2023★ 1 cited

A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller-Segel model

Jan Giesselmann, Niklas Kolbe

We study a finite volume scheme approximating a parabolic-elliptic Keller-Segel system with power law diffusion with exponent and periodic boundary conditions. We deri…

math.NA2023★ 1 cited

A posteriori error control for a Discontinuous Galerkin approximation of a Keller-Segel model

Jan Giesselmann, Kiwoong Kwon

We provide a posteriori error estimates for a discontinuous Galerkin scheme for the parabolic-elliptic Keller-Segel system in 2 or 3 space dimensions. The estimates are conditional…

math.NA2023★ 1 cited

Stability of step size control based on a posteriori error estimates

Hendrik Ranocha, Jan Giesselmann

A posteriori error estimates based on residuals can be used for reliable error control of numerical methods. Here, we consider them in the context of ordinary differential equation…

math.NA2023

A-posteriori error estimates for systems of hyperbolic conservation laws

Jan Giesselmann, Aleksey Sikstel

We provide rigorous and computable a-posteriori error estimates for first order finite-volume approximations of nonlinear systems of hyperbolic conservation laws in one spatial dim…

math.NA2023

Model adaptation for hyperbolic balance laws

Jan Giesselmann, Hrishikesh Joshi, Siegfried Müller +1

In this work, we devise a model adaptation strategy for a class of model hierarchies consisting of two levels of model complexity. In particular, the fine model consists of a syste…

math.NA2022★ 2 cited

Improving Weak PINNs for Hyperbolic Conservation Laws: Dual Norm Computation, Boundary Conditions and Systems

Aidan Chaumet, Jan Giesselmann

We consider the approximation of entropy solutions of nonlinear hyperbolic conservation laws using neural networks. We provide explicit computations that highlight why classical PI…

math.NA2021★ 5 cited

On the convergence of the regularized entropy-based moment method for kinetic equations

Graham W. Alldredge, Martin Frank, Jan Giesselmann

The entropy-based moment method is a well-known discretization for the velocity variable in kinetic equations which has many desirable theoretical properties but is difficult to im…

math.NA2020★ 1 cited

A posteriori error estimates for wave maps into spheres

Jan Giesselmann, Elena Mäder-Baumdicker, David Jakob Stonner

We provide a posteriori error estimates in the energy norm for temporal semi-discretisations of wave maps into spheres that are based on the angular momentum formulation. Our analy…

math.NA2020★ 1 cited

Data-Driven Snapshot Calibration via Monotonic Feature Matching

Neeraj Sarna, Jan Giesselmann, Peter Benner

Snapshot matrices of hyperbolic equations have a slow singular value decay, resulting in inefficient reduced-order models. We develop on the idea of inducing a faster singular valu…

math.NA2019

Error control for statistical solutions

Jan Giesselmann, Fabian Meyer, Christian Rohde

Statistical solutions have recently been introduced as a an alternative solution framework for hyperbolic systems of conservation laws. In this work we derive a novel a posteriori…

math.NA2019

An a posteriori error analysis based on non-intrusive spectral projections for systems of random conservation laws

Jan Giesselmann, Fabian Meyer, Christian Rohde

We present an a posteriori error analysis for one-dimensional random hyperbolic systems of conservation laws. For the discretization of the random space we consider the Non-Intrusi…

math.NA2019★ 11 cited

Residual estimates for post-processors in elliptic problems

Andreas Dedner, Jan Giesselmann, Tristan Pryer +1

In this work we examine a posteriori error control for post-processed approximations to elliptic boundary value problems. We introduce a class of post-processing operator that `twe…

math.NA2019★ 6 cited

A posteriori error analysis and adaptive non-intrusive numerical schemes for systems of random conservation laws

Jan Giesselmann, Fabian Meyer, Christian Rohde

In this article we consider one-dimensional random systems of hyperbolic conservation laws. We first establish existence and uniqueness of random entropy admissible solutions for i…

math.NA2018★ 10 cited

Convergence Analysis of the Grad's Hermite Approximation to the Boltzmann Equation

Neeraj Sarna, Jan Giesselmann, Manuel Torrilhon

In (Commun Pure Appl Math 2(4):331-407, 1949), Grad proposed a Hermite series expansion for approximating solutions to kinetic equations that have an unbounded velocity space. Howe…

math.NA2017★ 13 cited

A posteriori error analysis for random scalar conservation laws using the Stochastic Galerkin method

Jan Giesselmann, Fabian Meyer, Christian Rohde

In this article we present an a posteriori error estimator for the spatial-stochastic error of a Galerkin-type discretisation of an initial value problem for a random hyperbolic co…

math.NA2016★ 6 cited

A posteriori analysis for dynamic model adaptation in convection dominated problems

Jan Giesselmann, Tristan Pryer

In this work we present an a posteriori error indicator for approximation schemes of Runge-Kutta-discontinuous-Galerkin type arising in applications of compressible fluid flows. Th…

math.NA2014★ 28 cited

A posteriori analysis of discontinuous Galerkin schemes for systems of hyperbolic conservation laws

Jan Giesselmann, Charalambos Makridakis, Tristan Pryer

In this work we construct reliable a posteriori estimates for some discontinuous Galerkin schemes applied to nonlinear systems of hyperbolic conservation laws. We make use of appro…

math.NA2014★ 3 cited

Reduced relative entropy techniques for a posteriori analysis of multiphase problems in elastodynamics

Jan Giesselmann, Tristan Pryer

We give an a posteriori analysis of a semi-discrete discontinuous Galerkin scheme approximating solutions to a model of multiphase elastodynamics, which involves an energy density…

math.NA2014★ 8 cited

Reduced relative entropy techniques for a priori analysis of multiphase problems in elastodynamics

Jan Giesselmann, Tristan Pryer

We give an a priori analysis of a semi-discrete discontinuous Galerkin scheme approximating solutions to a model of multiphase elastodynamics which involves an energy density depen…

math.NA2013★ 9 cited

Low Mach Asymptotic Preserving Scheme for the Euler-Korteweg Model

Jan Giesselmann

We present an all speed scheme for the Euler-Korteweg model. We study a semi-implicit time-discretisation which treats the terms, which are stiff for low Mach numbers, implicitly a…