Jan Glaubitz

According to our database, Jan Glaubitz authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws.

Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Jan Glaubitz, Gregor J. Gassner

J. Comput. Phys., 2025

2024

Energy-Stable Global Radial Basis Function Methods on Summation-By-Parts Form.

Jan Glaubitz, Jan Nordström, Philipp Öffner

J. Sci. Comput., January, 2024

Leveraging Joint Sparsity in Hierarchical Bayesian Learning.

Jan Glaubitz, Anne Gelb

SIAM/ASA J. Uncertain. Quantification, 2024

Summation-by-parts operators for general function spaces: The second derivative.

Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner

J. Comput. Phys., 2024

Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods.

Jan Glaubitz, Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Gregor Gassner

CoRR, 2024

An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids.

Jan Glaubitz, Jan Nordström, Philipp Öffner

CoRR, 2024

Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances.

Jonathan Lindbloom, Jan Glaubitz, Anne Gelb

CoRR, 2024

2023

Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction.

Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner

J. Comput. Phys., October, 2023

Sequential Image Recovery Using Joint Hierarchical Bayesian Learning.

Yao Xiao, Jan Glaubitz

J. Sci. Comput., July, 2023

Summation-by-Parts Operators for General Function Spaces.

Jan Glaubitz, Jan Nordström, Philipp Öffner

SIAM J. Numer. Anal., April, 2023

Generalized Sparse Bayesian Learning and Application to Image Reconstruction.

Jan Glaubitz, Anne Gelb, Guohui Song

SIAM/ASA J. Uncertain. Quantification, March, 2023

High-order upwind summation-by-parts methods for nonlinear conservation laws.

Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Jan Glaubitz, Gregor J. Gassner

CoRR, 2023

Towards stability results for global radial basis function based quadrature formulas.

Jan Glaubitz, Jonah A. Reeger

CoRR, 2023

2022

Sequential Image Recovery from Noisy and Under-Sampled Fourier Data.

Yao Xiao, Jan Glaubitz, Anne Gelb, Guohui Song

J. Sci. Comput., 2022

2021

Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions.

Jan Glaubitz, Anne Gelb

J. Sci. Comput., 2021

Stable high-order cubature formulas for experimental data.

Jan Glaubitz

J. Comput. Phys., 2021

Towards stability of radial basis function based cubature formulas.

Jan Glaubitz, Jonah A. Reeger

CoRR, 2021

Construction and application of provable positive and exact cubature formulas.

Jan Glaubitz

CoRR, 2021

Towards stable radial basis function methods for linear advection problems.

Jan Glaubitz, Élise Le Mélédo, Philipp Öffner

Comput. Math. Appl., 2021

2020

Stable High Order Quadrature Rules for Scattered Data and General Weight Functions.

Jan Glaubitz

SIAM J. Numer. Anal., 2020

Constructing Positive Interpolatory Cubature Formulas.

Jan Glaubitz

CoRR, 2020

Stable discretisations of high-order discontinuous Galerkin methods on equidistant and scattered points.

Jan Glaubitz, Philipp Öffner

CoRR, 2020

2019

High Order Edge Sensors with ℓ¹ Regularization for Enhanced Discontinuous Galerkin Methods.

Jan Glaubitz, Anne Gelb

SIAM J. Sci. Comput., 2019

Smooth and Compactly Supported Viscous Sub-cell Shock Capturing for Discontinuous Galerkin Methods.

Jan Glaubitz, Alberto Costa Nogueira Jr., João Lucas de Sousa Almeida, R. F. Cantão, C. A. C. Silva

J. Sci. Comput., 2019

Shock capturing by Bernstein polynomials for scalar conservation laws.

Jan Glaubitz

Appl. Math. Comput., 2019

2018

Application of modal filtering to a spectral difference method.

Jan Glaubitz, Philipp Öffner, Thomas Sonar

Math. Comput., 2018