Dietmar Gallistl

According to our database, Dietmar Gallistl authored at least 37 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Computational Multiscale Methods for Nondivergence-Form Elliptic Partial Differential Equations.

Philip Freese, Dietmar Gallistl, Daniel Peterseim, Timo Sprekeler

Comput. Methods Appl. Math., July, 2024

Stability and guaranteed error control of approximations to the Monge-Ampère equation.

Dietmar Gallistl, Ngoc Tien Tran

Numerische Mathematik, February, 2024

Localized Implicit Time Stepping for the Wave Equation.

Dietmar Gallistl, Roland Maier

SIAM J. Numer. Anal., 2024

Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound.

Dietmar Gallistl, Moritz Hauck, Yizhou Liang, Daniel Peterseim

CoRR, 2024

2023

Computational Lower Bounds of the Maxwell Eigenvalues.

Dietmar Gallistl, Vladislav Olkhovskiy

SIAM J. Numer. Anal., April, 2023

Convergence of a regularized finite element discretization of the two-dimensional Monge-Ampère equation.

Dietmar Gallistl, Ngoc Tien Tran

Math. Comput., February, 2023

Mixed methods and lower eigenvalue bounds.

Dietmar Gallistl

Math. Comput., February, 2023

A posteriori error estimates for nonconforming discretizations of singularly perturbed biharmonic operators.

Dietmar Gallistl, Shudan Tian

CoRR, 2023

Multiscale Sub-grid Correction Method for Time-Harmonic High-Frequency Elastodynamics with Wave Number Explicit Bounds.

Donald L. Brown, Dietmar Gallistl

Comput. Methods Appl. Math., 2023

2022

Continuous finite elements satisfying a strong discrete Miranda-Talenti identity.

Dietmar Gallistl, Shudan Tian

CoRR, 2022

2021

Taylor-Hood Discretization of the Reissner-Mindlin Plate.

Dietmar Gallistl, Mira Schedensack

SIAM J. Numer. Anal., 2021

A Posteriori Error Analysis of the inf-sup Constant for the Divergence.

Dietmar Gallistl

SIAM J. Numer. Anal., 2021

A Priori Error Analysis of a Numerical Stochastic Homogenization Method.

Julian Fischer, Dietmar Gallistl, Daniel Peterseim

SIAM J. Numer. Anal., 2021

Mixed Finite Element Approximation of Periodic Hamilton-Jacobi-Bellman Problems With Application to Numerical Homogenization.

Dietmar Gallistl, Timo Sprekeler, Endre Süli

Multiscale Model. Simul., 2021

Sino-German Computational and Applied Mathematics.

Malte Braack, Dietmar Gallistl, Jun Hu, Guido Kanschat, Xuejun Xu

Comput. Methods Appl. Math., 2021

2020

Analysis of a mixed discontinuous Galerkin method for the time-harmonic Maxwell equations with minimal smoothness requirements.

Kaifang Liu, Dietmar Gallistl, Matthias Schlottbom, Jaap J. W. van der Vegt

CoRR, 2020

2019

Mixed Finite Element Approximation of the Hamilton-Jacobi-Bellman Equation with Cordes Coefficients.

Dietmar Gallistl, Endre Süli

SIAM J. Numer. Anal., 2019

Residual-based a posteriori error analysis for symmetric mixed Arnold-Winther FEM.

Carsten Carstensen, Dietmar Gallistl, Joscha Gedicke

Numerische Mathematik, 2019

Numerical approximation of planar oblique derivative problems in nondivergence form.

Dietmar Gallistl

Math. Comput., 2019

Rayleigh-Ritz approximation of the inf-sup constant for the divergence.

Dietmar Gallistl

Math. Comput., 2019

2018

Numerical Homogenization of H(curl)-Problems.

Dietmar Gallistl, Patrick Henning, Barbara Verfürth

SIAM J. Numer. Anal., 2018

2017

Variational Formulation and Numerical Analysis of Linear Elliptic Equations in Nondivergence form with Cordes Coefficients.

Dietmar Gallistl

SIAM J. Numer. Anal., 2017

On the stability of the Rayleigh-Ritz method for eigenvalues.

Dietmar Gallistl, P. Huber, Daniel Peterseim

Numerische Mathematik, 2017

Stable splitting of polyharmonic operators by generalized Stokes systems.

Dietmar Gallistl

Math. Comput., 2017

Optimal convergence of adaptive FEM for eigenvalue clusters in mixed form.

Daniele Boffi, Dietmar Gallistl, Francesca Gardini, Lucia Gastaldi

Math. Comput., 2017

Computation of Quasi-Local Effective Diffusion Tensors and Connections to the Mathematical Theory of Homogenization.

Dietmar Gallistl, Daniel Peterseim

Multiscale Model. Simul., 2017

2016

Justification of the saturation assumption.

Carsten Carstensen, Dietmar Gallistl, Joscha Gedicke

Numerische Mathematik, 2016

2015

An optimal adaptive FEM for eigenvalue clusters.

Dietmar Gallistl

Numerische Mathematik, 2015

Adaptive nonconforming Crouzeix-Raviart FEM for eigenvalue problems.

Carsten Carstensen, Dietmar Gallistl, Mira Schedensack

Math. Comput., 2015

2014

Guaranteed lower eigenvalue bounds for the biharmonic equation.

Carsten Carstensen, Dietmar Gallistl

Numerische Mathematik, 2014

A Remark on Newest Vertex Bisection in Any Space Dimension.

Dietmar Gallistl, Mira Schedensack, Rob P. Stevenson

Comput. Methods Appl. Math., 2014

Adaptive Nonconforming Finite Element Approximation of Eigenvalue Clusters.

Dietmar Gallistl

Comput. Methods Appl. Math., 2014

Low-order dPG-FEM for an elliptic PDE.

Carsten Carstensen, Dietmar Gallistl, Friederike Hellwig, Lucy Weggler

Comput. Math. Appl., 2014

A discrete Helmholtz decomposition with Morley finite element functions and the optimality of adaptive finite element schemes.

Carsten Carstensen, Dietmar Gallistl, Jun Hu

Comput. Math. Appl., 2014

2013

Discrete Reliability for Crouzeix-Raviart FEMs.

Carsten Carstensen, Dietmar Gallistl, Mira Schedensack

SIAM J. Numer. Anal., 2013

Quasi-optimal Adaptive Pseudostress Approximation of the Stokes Equations.

Carsten Carstensen, Dietmar Gallistl, Mira Schedensack

SIAM J. Numer. Anal., 2013

A posteriori error estimates for nonconforming finite element methods for fourth-order problems on rectangles.

Carsten Carstensen, Dietmar Gallistl, Jun Hu

Numerische Mathematik, 2013