SIAM Journal on Numerical Analysis
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Low-dissipation and low-dispersion Runge-Kutta schemes for computational acoustics
Journal of Computational Physics
Explicit Runge-Kutta methods for initial value problems with oscillating solutions
Journal of Computational and Applied Mathematics
2N-storage low dissipation and dispersion Runge-Kutta schemes for computational acoustics
Journal of Computational Physics
Optimal Runge-Kutta methods for first order pseudospectral operators
Journal of Computational Physics
Low-storage, Explicit Runge-Kutta Schemes for the Compressible Navier-Stokes Equations
Low-storage, Explicit Runge-Kutta Schemes for the Compressible Navier-Stokes Equations
Journal of Computational Physics
High-accuracy large-step explicit Runge-Kutta (HALE-RK) schemes for computational aeroacoustics
Journal of Computational Physics
A general strategy for the optimization of Runge-Kutta schemes for wave propagation phenomena
Journal of Computational Physics
Parallel Implementation of Runge---Kutta Integrators with Low Storage Requirements
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Journal of Computational and Applied Mathematics
Runge-Kutta methods with minimum storage implementations
Journal of Computational Physics
Optimal time advancing dispersion relation preserving schemes
Journal of Computational Physics
Nonuniform time-step Runge-Kutta discontinuous Galerkin method for Computational Aeroacoustics
Journal of Computational Physics
CFL Conditions for Runge-Kutta discontinuous Galerkin methods on triangular grids
Journal of Computational Physics
Parallel Low-Storage Runge-Kutta Solvers for ODE Systems with Limited Access Distance
International Journal of High Performance Computing Applications
Journal of Computational Physics
On some new low storage implementations of time advancing Runge-Kutta methods
Journal of Computational and Applied Mathematics
Hi-index | 31.49 |
A new fourth-order six-stage Runge-Kutta numerical integrator that requires 2N-storage (N is the number of degrees of freedom of the system) with low dissipation and dispersion and a relatively large stability interval is proposed. These features make it a suitable time advancing method for solving wave propagation problems in Computational Acoustics. Some numerical experiments are presented to show the favourable behaviour of the new scheme as compared with the LDD46 and LDD25 methods proposed by Stanescu and Habashi [J. Comput. Phys. 143 (1998) 674] and the standard fourth order Runge-Kutta method.