Efficient and Flexible Multirate Temporal Adaptivity

In this work we present two new families of multirate time step adaptivity controllers, that are designed to work with embedded multirate infinitesimal (MRI) time integration methods for adapting time steps when solving problems with multiple time scales. We compare these controllers against competing approaches on two benchmark problems and see that they offer dramatically improved performance and flexibility, with each proposed family excelling on different types of multirate applications. The combination of embedded MRI methods and the proposed controllers enable adaptive simulations of problems with a potentially arbitrary number of time scales, achieving high accuracy while maintaining low computational cost. Additionally, we introduce a new set of embeddings for the family of explicit multirate exponential Runge--Kutta (MERK) methods of orders 2 through 5, resulting in the first-ever fifth-order embedded MRI method. Finally, we compare the performance of a wide range of embedded MRI methods on our benchmark problems to provide guidance on how to select an appropriate MRI method and multirate controller.

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Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-10-16
DOI
https://doi.org/10.13016/m27d2m-ejux
Primary Topic
Numerical methods for differential equations
Type
article
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article

Efficient and Flexible Multirate Temporal Adaptivity

Vũ Thái Luân, Sylvia Amihere, Daniel Reynolds, Dashon Mitchell
Maryland Shared Open Access Repository (USMAI Consortium)
Numerical methods for differential equations
article

Efficient and Flexible Multirate Temporal Adaptivity

Vũ Thái Luân, Sylvia Amihere, Daniel Reynolds, Dashon Mitchell
article en

Abstract

In this work we present two new families of multirate time step adaptivity controllers, that are designed to work with embedded multirate infinitesimal (MRI) time integration methods for adapting time steps when solving problems with multiple time scales. We compare these controllers against competing approaches on two benchmark problems and see that they offer dramatically improved performance and flexibility, with each proposed family excelling on different types of multirate applications. The combination of embedded MRI methods and the proposed controllers enable adaptive simulations of problems with a potentially arbitrary number of time scales, achieving high accuracy while maintaining low computational cost. Additionally, we introduce a new set of embeddings for the family of explicit multirate exponential Runge--Kutta (MERK) methods of orders 2 through 5, resulting in the first-ever fifth-order embedded MRI method. Finally, we compare the performance of a wide range of embedded MRI methods on our benchmark problems to provide guidance on how to select an appropriate MRI method and multirate controller.

Maryland Shared Open Access Repository (USMAI Consortium)
Openalex Percentile: Top 21%
Numerical methods for differential equations
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