Abstract:
Schemes for the implementation of second order implicit Runge–Kutta methods are considered. These schemes allow us to reduce the computational costs when solving stiff problems with low accuracy. Results of their comparison with implicit MATLAB solvers are demonstrated.
Citation:
L. M. Skvortsov, “Efficient implementation of second order implicit Runge–Kutta methods”, Mat. Model., 25:5 (2013), 15–28; Math. Models Comput. Simul., 5:6 (2013), 565–574
This publication is cited in the following 4 articles:
E. B. Kuznetsov, S. S. Leonov, E. D. Tsapko, “Estimating the domain of absolute stability of a numerical scheme based on the method of solution continuation with respect to a parameter for solving stiff initial value problems”, Comput. Math. Math. Phys., 63:4 (2023), 528–541
Saraskanroud F.M., Jeffrey I., “A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets”, IEEE Trans. Comput. Imaging, 7 (2021), 611–623
Lee H., Lee N., “Wet-Dry Moving Boundary Treatment For Runge-Kutta Discontinuous Galerkin Shallow Water Equation Model”, KSCE J. Civ. Eng., 20:2 (2016), 978–989
L. M. Skvortsov, O. S. Kozlov, “Efficient implementation of diagonally implicit Runge–Kutta methods”, Math. Models Comput. Simul., 6:4 (2014), 415–424