A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
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Updated
Oct 17, 2024 - Julia
A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
Computing with B-series in Julia
Adaptive P/ODE numerics with Grassmann element TensorField assembly
Reproducibility repository for the paper "Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics"
The famous 5th order Radau IIA method, tailored for any *scalar* ODE that requires excellent solver stability
Reproducibility Repository for the paper "Fourth-Order Paired-Explicit Runge-Kutta Methods"
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