Abstract:
The main computational costs of implicit Runge–Kutta methods are caused by solving a system of algebraic equations at every step. By introducing explicit stages, it is possible to increase the stage (or pseudo-stage) order of the method, which makes it possible to increase the accuracy and avoid reducing the order in solving stiff problems, without additional costs of solving algebraic equations. The paper presents implicit methods with an explicit first stage and one or two explicit internal stages. The results of solving test problems are compared with similar methods having no explicit internal stages.
This publication is cited in the following 4 articles:
Gennady Yu. Kulikov, Maria V. Kulikova, Studies in Systems, Decision and Control, 539, State Estimation for Nonlinear Continuous–Discrete Stochastic Systems, 2024, 111
L. M. Skvortsov, “Generalizations of the Stage Order of Runge–Kutta Methods”, Comput. Math. and Math. Phys., 64:12 (2024), 2796
G. Yu. Kulikov, “Nested implicit Runge–Kutta pairs of Gauss and Lobatto types with local and global error controls for stiff ordinary differential equations”, Comput. Math. Math. Phys., 60:7 (2020), 1134–1154
V. Manichev, D. Zhuk, E. Feldman, “The basic set of test problems for ODE system solvers”, 3Rd International Conference on Information Processing and Control Engineering, IOP Conference Series-Materials Science and Engineering, 630, IOP Publishing Ltd, 2019, 012012