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Strong stability-preserving three-derivative Runge–Kutta methods by Xueyu Qin; Zhenhua Jiang; Jian Yu; Lintao Huang; Chao Yan is a Mathematics article available to read on EtoBox.

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In this work, we present the explicit strong stability-preserving (SSP) three-derivative Runge-Kutta (ThDRK) methods and propose the order accuracy conditions for ThDRK methods by Albrecht's approach. Additionally, we develop the SSP theory based on the new Taylor series condition for the ThDRK methods and find its optimal SSP coefficient with the corresponding parameters. By comparing with two-derivative Runge-Kutta (TDRK) methods, Runge-Kutta (RK) methods and second derivative general linear methods (SGLMs), the theoretical and numerical results show that the ThDRK methods have the largest effective SSP coefficient for the order accuracy (3 ≤ p ≤ 5). The numerical experiments reveal that the ThDRK methods maintain the designed order of convergence on the linear advection and Euler equation, and indicate the ThDRK methods have effective computational cost.

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Author

Xueyu Qin; Zhenhua Jiang; Jian Yu; Lintao Huang; Chao Yan

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Mathematics (Physical Sciences)