activity
20122026
most citedStability of Correction Procedure via Reconstruction With Summation-by-Parts Operators for Burgers' Equation Using a Polynomial Chaos Approach

34 citations · 322 across the 37 of their papers we have counts for

collaborators

40 papers

q-bio.MN2026

Enforcing Thermodynamic Consistency in Parameter Optimization and Bayesian Inference of Biochemical Reaction Networks

Federica Milinanni, Andrei Kramer-Miehe, Jan Glaubitz +1

Subcellular signaling pathways regulating, e.g., cell division or synaptic plasticity, are often modeled as dynamical networks of reactions satisfying the law of mass action. To re…

math.NA2026

Edge-preserving Bayesian neural networks via hierarchical sparsity-promoting priors

Jan Habscheid, Jan Glaubitz

Recovering piecewise-smooth functions with jump discontinuities from noisy, indirect, and incomplete data is a central task in computational inverse problems. Bayesian neural netwo…

math.NA2026

Regularity-informed data assimilation: A hierarchical Bayesian approach to ensemble Kalman filtering for hyperbolic conservation laws

Jan Glaubitz, Daniel Sharp, Mathieu le Provost +1

We propose a novel regularity-informed filtering framework for data assimilation in the context of hyperbolic conservation laws and other time-dependent partial differential equati…

math.NA2026

Gaussian FSBP operators: Comparison and application to numerical methods for hyperbolic conservation laws

Jan Glaubitz, Henry Haase, Philipp Öffner +1

Function-space summation-by-parts (FSBP) operators enable conservative and energy-stable numerical methods for hyperbolic conservation laws based on general, non-polynomial approxi…

math.NA2026

Beyond the summation-by-parts property: nullspace consistency, sparsity, and regularization for FSBP operators

Jan Glaubitz, Armin Iske, Joshua Lampert +1

We investigate the construction and performance of summation-by-parts (SBP) operators, which offer a powerful framework for the systematic development of structure-preserving numer…

math.NA2025

Towards provable energy-stable overset grid methods using sub-cell summation-by-parts operators

Jan Glaubitz, Joshua Lampert, Andrew R. Winters +1

Overset grid methods handle complex geometries by overlapping simpler, geometry-fitted grids to cover the original, more complex domain. However, ensuring their stability---particu…