Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Moving mesh partial differential equations (MMPDES) based on the equidistribution principle
SIAM Journal on Numerical Analysis
Accurate long-term integration of dynamical systems
NUMDIFF-7 Selected papers of the seventh conference on Numerical treatment of differential equations
Adaptive Mesh Methods for One- and Two-Dimensional Hyperbolic Conservation Laws
SIAM Journal on Numerical Analysis
Multi-symplectic integration methods for Hamiltonian PDEs
Future Generation Computer Systems - Special issue: Geometric numerical algorithms
Symmetry-preserving discretization of turbulent flow
Journal of Computational Physics
Journal of Symbolic Computation - Special issue: International symposium on symbolic and algebraic computation (ISSAC 2002)
Higher entropy conservation and numerical stability of compressible turbulence simulations
Journal of Computational Physics
Discrete total variation calculus and Lee's discrete mechanics
Applied Mathematics and Computation
Journal of Computational Physics
Lie Symmetry Preservation and Shock-Capturing Methods
SIAM Journal on Numerical Analysis
Geometric numerical schemes for the KdV equation
Computational Mathematics and Mathematical Physics
Symmetry-preserving discretization of Navier-Stokes equations on collocated unstructured grids
Journal of Computational Physics
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Lie-symmetry based integrators are constructed in order to preserve the local invariance properties of the equations. The geometrical methods leading to discretized equations for numerical computations involve many different concepts. Therefore they give rise to numerical schemes that vary in the accuracy, in the computational cost and in the implementation. In this paper a comparison is made between some alternative Lie-symmetry based methods illustrated on the example of the Burgers equation. The importance of the symmetry preservation is numerically highlighted.