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So far there where a few issues with the Runge-Kutta-Nyström solvers concerning their accuracy:
- https://github.com/SciML/DifferentialEquations.jl/issues/726
- https://github.com/SciML/Differenti…
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Please make it possible to use Radau5DAE for implicit problems. See: https://jmodelica.org/assimulo/DAE_Radau5DAE.html
This would make it much easier to port existing code from Python to Julia.
F…
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It would be good to have numerical integration and differentiation. Integration would be using the Newton–Cotes formulas, and differentiation by the Symmetric derivative.
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Some nonlinear problems can be very efficiently solved with non-standard methods, possibly abusing the specific structure of the problem. To allow users to efficiently utilize such methods in tandem w…
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## 50 / 00 Intro to ODE
Certainly! Here are a few suggestions to enhance the text:
1. **Introduction**: Consider adding a brief introduction to differential equations, highlighting their importa…
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The Runge-Kutta methods with automatic step size control optimized for compressible fluid dynamics Lisandro Dalcin, Matteo Parsani, David Ketcheson, and I published a few weeks ago in a [preprint on a…
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I wonder if it would be useful to add a solver that wraps [Richardson Extrapolation](https://github.com/JuliaMath/Richardson.jl) around another solver. You already have a limited form of this (Rombe…
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https://arxiv.org/abs/2001.04826
Seems like a good GSoC.
@ranocha
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In DiffEq we define implicit manifolds and project using a Newton method here:
https://github.com/JuliaDiffEq/DiffEqCallbacks.jl/blob/master/src/manifold.jl
We set this up with the generic nlsol…
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Recently, our lab started using the master branch of https://github.com/choreonoid/choreonoid from https://github.com/isri-aist/choreonoid (fixed at the version of November 2019). The change caused th…