activity
20192024
most citedError analysis for a Crouzeix-Raviart approximation of the -Dirichlet problem

6 citations · 18 across the 22 of their papers we have counts for

collaborators
Showing math.NAShow all

16 papers · 1 filter

math.NA2024★ 1 cited

Variational problems with gradient constraints: and error identities

Harbir Antil, Sören Bartels, Alex Kaltenbach +1

In this paper, on the basis of a (Fenchel) duality theory on the continuous level, we derive an error identity for arbitrary conforming approximations of a…

math.NA2024★ 1 cited

and error identities for the scalar Signorini problem

Sören Bartels, Thirupathi Gudi, Alex Kaltenbach

In this paper, on the basis of a (Fenchel) duality theory on the continuous level, we derive an error identity for arbitrary conforming approximations of th…

math.NA2024

Exact a posteriori error control for variational problems via convex duality and explicit flux reconstruction

Sören Bartels, Alex Kaltenbach

A posteriori error estimates are an important tool to bound discretization errors in terms of computable quantities avoiding regularity conditions that are often difficult to estab…

math.NA2023

Quasi-optimal Discontinuous Galerkin discretisations of the -Dirichlet problem

J. Blechta, P. A. Gazca-Orozco, A. Kaltenbach +1

The classical arguments employed when obtaining error estimates of Finite Element (FE) discretisations of elliptic problems lead to more restrictive assumptions on the regularity o…

math.NA2023★ 1 cited

Explicit a posteriori error representation for variational problems and application to TV-minimization

Sören Bartels, Alex Kaltenbach

In this paper, we propose a general approach for explicit a posteriori error representation for convex minimization problems using basic convex duality relations. Exploiting discre…

math.NA2023

Error analysis for a Crouzeix-Raviart approximation of the variable exponent Dirichlet problem

Anna Kh. Balci, Alex Kaltenbach

In the present paper, we examine a Crouzeix-Raviart approximation of the -Dirichlet problem. We derive a error estimate, , a best-approxi…

math.NA2023★ 2 cited

Error analysis for a Crouzeix-Raviart approximation of the obstacle problem

Sören Bartels, Alex Kaltenbach

In the present paper, we study a Crouzeix-Raviart approximation of the obstacle problem, which imposes the obstacle constraint in the midpoints (i.e., barycenters) of the elements…

math.NA2022

Analysis of a fully-discrete, non-conforming approximation of evolution equations and applications

Alex Kaltenbach, Michael Růžička

In this paper, we consider a fully-discrete approximation of an abstract evolution equation deploying a non-conforming spatial approximation and finite differences in time (Rothe-G…

math.NA2022★ 6 cited

Error analysis for a Crouzeix-Raviart approximation of the -Dirichlet problem

Alex Kaltenbach

In the present paper, we examine a Crouzeix-Raviart approximation for non-linear partial differential equations having a -structure for some and .…

math.NA2022

A Local Discontinuous Galerkin approximation for the -Navier-Stokes system, Part III: Convergence rates for the pressure

Alex Kaltenbach, Michael Růžička

In the present paper, we prove convergence rates for the pressure of the Local Discontinuous Galerkin (LDG) approximation, proposed in Part I of the paper, of systems of -Navier…

math.NA2022

A Local Discontinuous Galerkin approximation for the -Navier-Stokes system, Part II: Convergence rates for the velocity

Alex Kaltenbach, Michael Růžička

In the present paper, we prove convergence rates for the Local Discontinuous Galerkin (LDG) approximation, proposed in Part I of the paper, for systems of -Navier-Stokes type an…

math.NA2022★ 1 cited

A Local Discontinuous Galerkin approximation for the -Navier-Stokes system, Part I: Convergence analysis

Alex Kaltenbach, Michael Růžička

In the present paper, we propose a Local Discontinuous Galerkin (LDG) approximation for fully non-homogeneous systems of -Navier-Stokes type. On the basis of the primal formulat…

math.NA2022★ 2 cited

The Deep Ritz Method for Parametric -Dirichlet Problems

Alex Kaltenbach, Marius Zeinhofer

We establish error estimates for the approximation of parametric -Dirichlet problems deploying the Deep Ritz Method. Parametric dependencies include, e.g., varying geometries an…

math.NA2022★ 1 cited

Explicit and efficient error estimation for convex minimization problems

Sören Bartels, Alex Kaltenbach

We combine a systematic approach for deriving general a posteriori error estimates for convex minimization problems based on convex duality relations with a recently derived genera…

math.NA2022★ 1 cited

Convergence analysis of a Local Discontinuous Galerkin approximation for nonlinear systems with balanced Orlicz-structure

Alex Kaltenbach, Michael Růžička

In this paper, we investigate a Local Discontinuous Galerkin (LDG) approximation for systems with balanced Orlicz-structure. We propose a new numerical flux, which yields optimal c…

math.NA2022

Error estimates for total-variation regularized minimization problems with singular dual solutions

Alex Kaltenbach, Sören Bartels

Recent quasi-optimal error estimates for the finite element approximation of total-variation regularized minimization problems using the Crouzeix--Raviart finite element require th…