Convergence analysis of a Local Discontinuous Galerkin approximation for nonlinear systems with balanced Orlicz-structure
Alex Kaltenbach, Michael R\r{u}\v{z}i\v{c}ka

TL;DR
This paper analyzes the convergence of a Local Discontinuous Galerkin method for nonlinear systems with balanced Orlicz-structure, introducing a new flux that achieves optimal rates across various problem types.
Contribution
It presents a novel numerical flux for LDG methods that ensures optimal convergence for systems with balanced Orlicz-structure, unifying treatment for different $(p, abla)$-structures.
Findings
Achieves optimal convergence rates for linear ansatz functions.
Provides a unified approach for $(p, abla)$-structure problems.
Introduces a new numerical flux for LDG methods.
Abstract
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 convergence rates for linear ansatz functions. In particular, our approach yields a unified treatment for problems with -structure for arbitrary and .
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering · Elasticity and Material Modeling
