The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
The use of Butcher series in the analysis of Newton-like iterations in Runge-Kutta formulas
Applied Numerical Mathematics - Special issue to honor professor J. C. Butcher on his sixtieth birthday
Variable time step integration with symplectic methods
Applied Numerical Mathematics - Special issue on time integration
Starting algorithms for IRK methods
Journal of Computational and Applied Mathematics
Construction of starting algorithms for the RK-Gauss methods
Journal of Computational and Applied Mathematics
Stage Value Predictors and Efficient Newton Iterations in Implicit Runge--Kutta Methods
SIAM Journal on Scientific Computing
Backward Error Analysis for Numerical Integrators
SIAM Journal on Numerical Analysis
IRK methods for DAE: starting algorithms
Proceedings of the on Numerical methods for differential equations
Starting algorithms for low stage order RKN methods
Journal of Computational and Applied Mathematics - Special issue: Proceedings of the 9th International Congress on computational and applied mathematics
Variable-order starting algorithms for implicit Runge-Kutta methods on stiff problems
Applied Numerical Mathematics
Stage value predictors for additive and partitioned Runge-Kutta methods
Applied Numerical Mathematics
Stage value predictors for additive and partitioned Runge--Kutta methods
Applied Numerical Mathematics
Initializers for RK-Gauss methods based on pseudo-symplecticity
Journal of Computational and Applied Mathematics
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In this paper a fourth order starting algorithm for variable step implicit Runge-Kutta methods is developed using the approach of equistage approximation proposed in (IMA J. Numer. Anal. 22 (2002) 153). This starting algorithm is used in combination with the well known RADAU5 code and numerical results are provided.