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ORCIDDietmar Gallistl
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2020 – today
- 2024
[j33]Philip Freese
, Dietmar Gallistl, Daniel Peterseim, Timo Sprekeler:
Computational Multiscale Methods for Nondivergence-Form Elliptic Partial Differential Equations. Comput. Methods Appl. Math. 24(3): 649-672 (2024)- [j32]Dietmar Gallistl, Ngoc Tien Tran:
Stability and guaranteed error control of approximations to the Monge-Ampère equation. Numerische Mathematik 156(1): 107-131 (2024) - [j31]Dietmar Gallistl, Roland Maier:
Localized Implicit Time Stepping for the Wave Equation. SIAM J. Numer. Anal. 62(4): 1589-1608 (2024) - [i12]Dietmar Gallistl:
Mixed methods and lower eigenvalue bounds. CoRR abs/2401.04519 (2024) - [i11]Dietmar Gallistl, Moritz Hauck, Yizhou Liang, Daniel Peterseim:
Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound. CoRR abs/2402.06311 (2024) - 2023
- [j30]Donald L. Brown, Dietmar Gallistl:
Multiscale Sub-grid Correction Method for Time-Harmonic High-Frequency Elastodynamics with Wave Number Explicit Bounds. Comput. Methods Appl. Math. 23(1): 65-82 (2023) - [j29]Dietmar Gallistl, Ngoc Tien Tran:
Convergence of a regularized finite element discretization of the two-dimensional Monge-Ampère equation. Math. Comput. 92(342): 1467-1490 (2023) - [j28]Dietmar Gallistl:
Mixed methods and lower eigenvalue bounds. Math. Comput. 92(342): 1491-1509 (2023) - [j27]Dietmar Gallistl, Vladislav Olkhovskiy:
Computational Lower Bounds of the Maxwell Eigenvalues. SIAM J. Numer. Anal. 61(2): 539-561 (2023) - [i10]Dietmar Gallistl, Ngoc Tien Tran:
Stability and guaranteed error control of approximations to the Monge-Ampère equation. CoRR abs/2301.06805 (2023) - [i9]Dietmar Gallistl, Roland Maier:
Localized implicit time stepping for the wave equation. CoRR abs/2306.17056 (2023) - [i8]Dietmar Gallistl, Shudan Tian:
A posteriori error estimates for nonconforming discretizations of singularly perturbed biharmonic operators. CoRR abs/2310.15665 (2023) - 2022
- [i7]Dietmar Gallistl, Shudan Tian:
Continuous finite elements satisfying a strong discrete Miranda-Talenti identity. CoRR abs/2209.12500 (2022) - [i6]Philip Freese, Dietmar Gallistl, Daniel Peterseim, Timo Sprekeler:
Computational multiscale methods for nondivergence-form elliptic partial differential equations. CoRR abs/2211.13731 (2022) - 2021
- [j26]Malte Braack, Dietmar Gallistl, Jun Hu, Guido Kanschat, Xuejun Xu:
Sino-German Computational and Applied Mathematics. Comput. Methods Appl. Math. 21(3): 497-499 (2021) - [j25]Dietmar Gallistl, Timo Sprekeler, Endre Süli:
Mixed Finite Element Approximation of Periodic Hamilton-Jacobi-Bellman Problems With Application to Numerical Homogenization. Multiscale Model. Simul. 19(2): 1041-1065 (2021) - [j24]Dietmar Gallistl:
A Posteriori Error Analysis of the inf-sup Constant for the Divergence. SIAM J. Numer. Anal. 59(1): 249-264 (2021) - [j23]Julian Fischer, Dietmar Gallistl, Daniel Peterseim:
A Priori Error Analysis of a Numerical Stochastic Homogenization Method. SIAM J. Numer. Anal. 59(2): 660-674 (2021) - [j22]Dietmar Gallistl, Mira Schedensack:
Taylor-Hood Discretization of the Reissner-Mindlin Plate. SIAM J. Numer. Anal. 59(3): 1195-1217 (2021) - [i5]Dietmar Gallistl, Vladislav Olkhovskiy:
Computational lower bounds of the Maxwell eigenvalues. CoRR abs/2110.02605 (2021) - [i4]Dietmar Gallistl, Ngoc Tien Tran:
Convergence of a regularized finite element discretization of the two-dimensional Monge-Ampère equation. CoRR abs/2112.10711 (2021) - 2020
- [i3]Kaifang Liu, Dietmar Gallistl, Matthias Schlottbom, Jaap J. W. van der Vegt:
Analysis of a mixed discontinuous Galerkin method for the time-harmonic Maxwell equations with minimal smoothness requirements. CoRR abs/2009.06519 (2020) - [i2]Dietmar Gallistl, Timo Sprekeler, Endre Süli:
Mixed finite element approximation of periodic Hamilton-Jacobi-Bellman problems with application to numerical homogenization. CoRR abs/2010.01647 (2020)
2010 – 2019
- 2019
- [j21]Dietmar Gallistl:
Rayleigh-Ritz approximation of the inf-sup constant for the divergence. Math. Comput. 88(315): 73-89 (2019) - [j20]Dietmar Gallistl:
Numerical approximation of planar oblique derivative problems in nondivergence form. Math. Comput. 88(317): 1091-1119 (2019) - [j19]Carsten Carstensen, Dietmar Gallistl, Joscha Gedicke:
Residual-based a posteriori error analysis for symmetric mixed Arnold-Winther FEM. Numerische Mathematik 142(2): 205-234 (2019) - [j18]Dietmar Gallistl, Endre Süli:
Mixed Finite Element Approximation of the Hamilton-Jacobi-Bellman Equation with Cordes Coefficients. SIAM J. Numer. Anal. 57(2): 592-614 (2019) - [i1]Julian Fischer, Dietmar Gallistl, Daniel Peterseim:
A priori error analysis of a numerical stochastic homogenization method. CoRR abs/1912.11646 (2019) - 2018
- [j17]Dietmar Gallistl, Patrick Henning, Barbara Verfürth:
Numerical Homogenization of H(curl)-Problems. SIAM J. Numer. Anal. 56(3): 1570-1596 (2018) - 2017
- [j16]Dietmar Gallistl, Daniel Peterseim:
Computation of Quasi-Local Effective Diffusion Tensors and Connections to the Mathematical Theory of Homogenization. Multiscale Model. Simul. 15(4): 1530-1552 (2017) - [j15]Daniele Boffi, Dietmar Gallistl, Francesca Gardini, Lucia Gastaldi:
Optimal convergence of adaptive FEM for eigenvalue clusters in mixed form. Math. Comput. 86(307): 2213-2237 (2017) - [j14]Dietmar Gallistl:
Stable splitting of polyharmonic operators by generalized Stokes systems. Math. Comput. 86(308): 2555-2577 (2017) - [j13]Dietmar Gallistl, P. Huber, Daniel Peterseim:
On the stability of the Rayleigh-Ritz method for eigenvalues. Numerische Mathematik 137(2): 339-351 (2017) - [j12]Dietmar Gallistl:
Variational Formulation and Numerical Analysis of Linear Elliptic Equations in Nondivergence form with Cordes Coefficients. SIAM J. Numer. Anal. 55(2): 737-757 (2017) - 2016
- [j11]Carsten Carstensen, Dietmar Gallistl, Joscha Gedicke:
Justification of the saturation assumption. Numerische Mathematik 134(1): 1-25 (2016) - 2015
- [j10]Carsten Carstensen, Dietmar Gallistl, Mira Schedensack:
Adaptive nonconforming Crouzeix-Raviart FEM for eigenvalue problems. Math. Comput. 84(293): 1061-1087 (2015) - [j9]Dietmar Gallistl:
An optimal adaptive FEM for eigenvalue clusters. Numerische Mathematik 130(3): 467-496 (2015) - 2014
- [j8]Carsten Carstensen, Dietmar Gallistl, Friederike Hellwig, Lucy Weggler:
Low-order dPG-FEM for an elliptic PDE. Comput. Math. Appl. 68(11): 1503-1512 (2014) - [j7]Carsten Carstensen, Dietmar Gallistl, Jun Hu:
A discrete Helmholtz decomposition with Morley finite element functions and the optimality of adaptive finite element schemes. Comput. Math. Appl. 68(12): 2167-2181 (2014) - [j6]Dietmar Gallistl, Mira Schedensack, Rob P. Stevenson:
A Remark on Newest Vertex Bisection in Any Space Dimension. Comput. Methods Appl. Math. 14(3): 317-320 (2014) - [j5]Dietmar Gallistl:
Adaptive Nonconforming Finite Element Approximation of Eigenvalue Clusters. Comput. Methods Appl. Math. 14(4): 509-535 (2014) - [j4]Carsten Carstensen, Dietmar Gallistl:
Guaranteed lower eigenvalue bounds for the biharmonic equation. Numerische Mathematik 126(1): 33-51 (2014) - 2013
- [j3]Carsten Carstensen, Dietmar Gallistl, Jun Hu:
A posteriori error estimates for nonconforming finite element methods for fourth-order problems on rectangles. Numerische Mathematik 124(2): 309-335 (2013) - [j2]Carsten Carstensen, Dietmar Gallistl, Mira Schedensack:
Quasi-optimal Adaptive Pseudostress Approximation of the Stokes Equations. SIAM J. Numer. Anal. 51(3): 1715-1734 (2013) - [j1]Carsten Carstensen, Dietmar Gallistl, Mira Schedensack:
Discrete Reliability for Crouzeix-Raviart FEMs. SIAM J. Numer. Anal. 51(5): 2935-2955 (2013)
Coauthor Index
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