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Published December 2021 | Version v1
Journal article

High order, semi-implicit, energy stable schemes for gradient flows

  • 1. Department of Mathematics, University of Michigan, Ann Arbor, MI 48109 (United States)
  • 2. Departments of Mechanical Engineering, and Mathematics, Michigan Institute for Computational Discovery & Engineering, University of Michigan, Ann Arbor, MI 48109 (United States)

Description

Highlights: • High-order, energy stable, semi-implicit schemes for general gradient flows. • The schemes cost as much as multiple calls per time step to a first-order scheme. • Schemes for gradient flows with varying inner products, such as Wasserstein. • Numerical examples of the new schemes on a variety of gradient flows. We introduce a class of high order accurate, semi-implicit Runge-Kutta schemes in the general setting of evolution equations that arise as gradient flow for a cost function, possibly with respect to an inner product that depends on the solution, and we establish their energy stability. This class includes as a special case high order, unconditionally stable schemes obtained via convexity splitting. The new schemes are demonstrated on a variety of gradient flows, including partial differential equations that are gradient flow with respect to the Wasserstein (mass transport) distance.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2021.110688

Additional details

Identifiers

DOI
10.1016/j.jcp.2021.110688;
PII
S0021999121005830;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
447
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54001703
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
DISTANCE; EVOLUTION EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; STABILITY
Descriptors DEC
DIFFERENTIAL EQUATIONS; EQUATIONS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.