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Dive into the research topics where Jochen Schütz is active.

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Featured researches published by Jochen Schütz.


International Journal for Numerical Methods in Fluids | 2014

Adjoint‐based error estimation and mesh adaptation for hybridized discontinuous Galerkin methods

Michael Woopen; Georg May; Jochen Schütz

Summary We present a robust and efficient target-based mesh adaptation methodology, building on hybridized discontinuous Galerkin schemes for (nonlinear) convection–diffusion problems, including the compressible Euler and Navier–Stokes equations. The hybridization of finite element discretizations has the main advantage that the resulting set of algebraic equations has globally coupled degrees of freedom (DOFs) only on the skeleton of the computational mesh. Consequently, solving for these DOFs involves the solution of a potentially much smaller system. This not only reduces storage requirements but also allows for a faster solution with iterative solvers. The mesh adaptation is driven by an error estimate obtained via a discrete adjoint approach. Furthermore, the computed target functional can be corrected with this error estimate to obtain an even more accurate value. The aim of this paper is twofold: Firstly, to show the superiority of adjoint-based mesh adaptation over uniform and residual-based mesh refinement and secondly, to investigate the efficiency of the global error estimate. Copyright


Journal of Scientific Computing | 2015

Flux Splitting for Stiff Equations: A Notion on Stability

Jochen Schütz; Sebastian Noelle

For low Mach number flows, there is a strong recent interest in the development and analysis of IMEX (implicit/explicit) schemes, which rely on a splitting of the convective flux into stiff and nonstiff parts. A key ingredient of the analysis is the so-called Asymptotic Preserving property, which guarantees uniform consistency and stability as the Mach number goes to zero. While many authors have focused on asymptotic consistency, we study asymptotic stability in this paper: does an IMEX scheme allow for a CFL number which is independent of the Mach number? We derive a stability criterion for a general linear hyperbolic system. In the decisive eigenvalue analysis, the advective term, the upwind diffusion and a quadratic term stemming from the truncation in time all interact in a subtle way. As an application, we show that a new class of splittings based on characteristic decomposition, for which the commutator vanishes, avoids the deterioration of the time step which has sometimes been observed in the literature.


Journal of Scientific Computing | 2017

A New Stable Splitting for the Isentropic Euler Equations

Klaus Kaiser; Jochen Schütz; Ruth Schöbel; Sebastian Noelle

In this work, we propose a new way of splitting the flux function of the isentropic compressible Euler equations at low Mach number into stiff and non-stiff parts. Following the IMEX methodology, the latter ones are treated explicitly, while the first ones are treated implicitly. The splitting is based on the incompressible limit solution, which we call reference solution. An analysis concerning the asymptotic consistency and numerical results demonstrate the advantages of this splitting.


Computational Geosciences | 2018

Analysis of a mixed discontinuous Galerkin method for instationary Darcy flow

Vadym Aizinger; Andreas Rupp; Jochen Schütz; Peter Knabner

We present an a priori stability and convergence analysis of a new mixed discontinuous Galerkin scheme applied to the instationary Darcy problem. The analysis accounts for a spatially and temporally varying permeability tensor in all estimates. The proposed method is stabilized using penalty terms in the primary and the flux unknowns.


Journal of Scientific Computing | 2016

Implicit Multistage Two-Derivative Discontinuous Galerkin Schemes for Viscous Conservation Laws

Alexander Jaust; Jochen Schütz; David C. Seal

In this paper we apply implicit two-derivative multistage time integrators to conservation laws in one and two dimensions. The one dimensional solver discretizes space with the classical discontinuous Galerkin method, and the two dimensional solver uses a hybridized discontinuous Galerkin spatial discretization for efficiency. We propose methods that permit us to construct implicit solvers using each of these spatial discretizations, wherein a chief difficulty is how to handle the higher derivatives in time. The end result is that the multiderivative time integrator allows us to obtain high-order accuracy in time while keeping the number of implicit stages at a minimum. We show numerical results validating and comparing methods.


YIC GACM 2015 | 2015

The RS-IMEX splitting for the isentropic Euler equations

Jochen Schütz; Klaus Kaiser; Sebastian Noelle

Approximating solutions to singularly perturbed differential equations necessitates the use of stable integrators. One famous approach is to split the equation into stiff and non-stiff parts. Treating stiff parts implicitly, non-stiff ones explicitly leads to so-called IMEX schemes. These schemes are supposed to exhibit very good accuracy and uniform stability, however, not every (seemingly reasonable) splitting induces a stable algorithm. In this paper, we present a new IMEX-splitting based on a reference solution (RS) applied to the isentropic Euler equations.


Journal of Scientific Computing | 2014

An Asymptotic Preserving Method for Linear Systems of Balance Laws Based on Galerkin's Method

Jochen Schütz

We apply the concept of asymptotic preserving schemes (SIAM J Sci Comput 21:441–454, 1999) to the linearized


Journal of Scientific Computing | 2017

Implicit Multiderivative Collocation Solvers for Linear Partial Differential Equations with Discontinuous Galerkin Spatial Discretizations

Jochen Schütz; David C. Seal; Alexander Jaust


Archive | 2015

An HDG Method for Unsteady Compressible Flows

Alexander Jaust; Jochen Schütz; Michael Woopen

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Journal of Computational and Applied Mathematics | 2018

Asymptotic error analysis of an IMEX Runge–Kutta method

Klaus Kaiser; Jochen Schütz

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Georg May

RWTH Aachen University

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Vadym Aizinger

University of Erlangen-Nuremberg

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David C. Seal

United States Naval Academy

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Peter Knabner

University of Erlangen-Nuremberg

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Andrea Beck

University of Stuttgart

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Andreas Rupp

University of Erlangen-Nuremberg

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