Runge-Kutta residual distribution schemes

We are concerned with the solution of time-dependent non-linear hyperbolic partial differential equations. We investigate the combination of residual distribution methods with a consistent mass matrix (discretisation in space) and a Runge–Kutta-type time-stepping (discretisation in time). The introd...

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Main Authors: Warzynski, Andrzej, Hubbard, Matthew E., Ricchiuto, Mario
Format: Article
Published: Springer 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/40821/
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author Warzynski, Andrzej
Hubbard, Matthew E.
Ricchiuto, Mario
author_facet Warzynski, Andrzej
Hubbard, Matthew E.
Ricchiuto, Mario
author_sort Warzynski, Andrzej
building Nottingham Research Data Repository
collection Online Access
description We are concerned with the solution of time-dependent non-linear hyperbolic partial differential equations. We investigate the combination of residual distribution methods with a consistent mass matrix (discretisation in space) and a Runge–Kutta-type time-stepping (discretisation in time). The introduced non-linear blending procedure allows us to retain the explicit character of the time-stepping procedure. The resulting methods are second order accurate provided that both spatial and temporal approximations are. The proposed approach results in a global linear system that has to be solved at each time-step. An efficient way of solving this system is also proposed. To test and validate this new framework, we perform extensive numerical experiments on a wide variety of classical problems. An extensive numerical comparison of our approach with other multi-stage residual distribution schemes is also given.
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spelling nottingham-408212020-05-04T17:03:41Z https://eprints.nottingham.ac.uk/40821/ Runge-Kutta residual distribution schemes Warzynski, Andrzej Hubbard, Matthew E. Ricchiuto, Mario We are concerned with the solution of time-dependent non-linear hyperbolic partial differential equations. We investigate the combination of residual distribution methods with a consistent mass matrix (discretisation in space) and a Runge–Kutta-type time-stepping (discretisation in time). The introduced non-linear blending procedure allows us to retain the explicit character of the time-stepping procedure. The resulting methods are second order accurate provided that both spatial and temporal approximations are. The proposed approach results in a global linear system that has to be solved at each time-step. An efficient way of solving this system is also proposed. To test and validate this new framework, we perform extensive numerical experiments on a wide variety of classical problems. An extensive numerical comparison of our approach with other multi-stage residual distribution schemes is also given. Springer 2015-03-31 Article PeerReviewed Warzynski, Andrzej, Hubbard, Matthew E. and Ricchiuto, Mario (2015) Runge-Kutta residual distribution schemes. Journal of Scientific Computing, 62 (3). pp. 772-802. ISSN 1573-7691 Hyperbolic conservation laws Time-dependent problems Second order schemes Residual distribution Runge–Kutta time-stepping http://link.springer.com/article/10.1007%2Fs10915-014-9879-0 doi:10.1007/s10915-014-9879-0 doi:10.1007/s10915-014-9879-0
spellingShingle Hyperbolic conservation laws
Time-dependent problems
Second order schemes
Residual distribution
Runge–Kutta time-stepping
Warzynski, Andrzej
Hubbard, Matthew E.
Ricchiuto, Mario
Runge-Kutta residual distribution schemes
title Runge-Kutta residual distribution schemes
title_full Runge-Kutta residual distribution schemes
title_fullStr Runge-Kutta residual distribution schemes
title_full_unstemmed Runge-Kutta residual distribution schemes
title_short Runge-Kutta residual distribution schemes
title_sort runge-kutta residual distribution schemes
topic Hyperbolic conservation laws
Time-dependent problems
Second order schemes
Residual distribution
Runge–Kutta time-stepping
url https://eprints.nottingham.ac.uk/40821/
https://eprints.nottingham.ac.uk/40821/
https://eprints.nottingham.ac.uk/40821/