Computing with B-series
arXiv:2111.11680 · doi:10.1145/3573384
Abstract
We present BSeries.jl, a Julia package for the computation and manipulation of B-series, which are a versatile theoretical tool for understanding and designing discretizations of differential equations. We give a short introduction to the theory of B-series and associated concepts and provide examples of their use, including method composition and backward error analysis. The associated software is highly performant and makes it possible to work with B-series of high order.
References in corpus (4)
- Renormalization in quantum field theory and the Riemann-Hilbert problem I: the Hopf algebra structure of graphs and the main theorem
- Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
- Energy Stability of Explicit Runge-Kutta Methods for Non-autonomous or Nonlinear Problems
- Runge-Kutta methods, trees, and Mathematica