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
Automatic selection of the initial step size for an ODE solver
Journal of Computational and Applied Mathematics
Order, stepsize and stiffness switching
Computing
Computer arithmetic algorithms
Computer arithmetic algorithms
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Unitary integrators and applications to continuous orthonormalization techniques
SIAM Journal on Numerical Analysis
On the numerical integration of ordinary differential equations by symmetric composition methods
SIAM Journal on Scientific Computing
Computation of a few Lyapunov exponents for continuous and discrete dynamical systems
Applied Numerical Mathematics - Special issue on numerical methods for ordinary differential equations
Matrix computations (3rd ed.)
Mathematics of Computation
On Order Conditions for Partitioned Symplectic Methods
SIAM Journal on Numerical Analysis
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
Solving Orthogonal Matrix Differential Systems in Mathematica
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Symplectic Methods for Separable Hamiltonian Systems
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
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Strategies for reducing the effect of cumulative rounding errors in geometric numerical integration are outlined. The focus is, in particular, on the solution of separable Hamiltonian systems using explicit symplectic integration methods and on solving orthogonal matrix differential systems using projection. Examples are given that demonstrate the advantages of an increment formulation over the standard implementation of conventional integrators. We describe how the aforementioned special purpose integration methods have been set up in a uniform, modular and extensible framework being developed in the problem solving environment Mathematica.