High-Order Implicit Time-Marching Methods Based on Generalized Summation-By-Parts Operators
Pieter D. Boom, David W. Zingg

TL;DR
This paper extends the theory of finite-difference summation-by-parts (FD-SBP) methods to generalized SBP (GSBP) frameworks, enabling the construction of high-order, stable, and superconvergent implicit time-marching schemes suitable for stiff PDEs.
Contribution
It formalizes the connection between GSBP time-marching methods and implicit Runge-Kutta methods, and introduces novel high-order GSBP-based schemes with stability properties.
Findings
GSBP methods retain A- and L-stability.
Superconvergence of integral functionals and solutions at time step end.
Development of new high-order implicit Runge-Kutta methods with stability properties.
Abstract
This article extends the theory of classical finite-difference summation-by-parts (FD-SBP) time-marching methods to the generalized summation-by-parts (GSBP) framework. Dual-consistent GSBP time-marching methods are shown to retain: A and L-stability, as well as superconvergence of integral functionals when integrated with the quadrature associated with the discretization. This also implies that the solution approximated at the end of each time step is superconvergent. In addition GSBP time-marching methods constructed with a diagonal norm are BN-stable. This article also formalizes the connection between FD-SBP/GSBP time-marching methods and implicit Runge-Kutta methods. Through this connection, the minimum accuracy of the solution approximated at the end of a time step is extended for nonlinear problems. It is also exploited to derive conditions under which nonlinearly stable GSBP…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
