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DiffEqDevTools.jl Alternatives
Similar projects and alternatives to DiffEqDevTools.jl based on common topics and language
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SimpleDiffEq.jl
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WorkOS
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better DiffEqDevTools.jl alternative or higher similarity.
DiffEqDevTools.jl reviews and mentions
Posts with mentions or reviews of DiffEqDevTools.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-02.
- How much useful are Runge-Kutta methods of order 9 and higher within double-precision arithmetic/floating point accuracy?
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Interpolant Coefficients for the BS5 Runge-Kutta method
In general for tableaus the place to look is https://github.com/SciML/DiffEqDevTools.jl/blob/master/src/ode_tableaus.jl which is 10,000 lines of coefficients that have been checked to pass convergence tests at the correct order of accuracy. This means that many typos in the literature are fixed there, so these days I don't go back to the original sources (given how many typos I found).
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Tutorials for Learning Runge-Kutta Methods with Julia?
And that's why you use a library. Not even most library writers follow this stuff closely enough to be updating for minute improvements to scalar coefficients in tableaus of numbers. But in Julia we validated 8,000 lines of code describing these coefficients in higher precision accuracy and did the tests to choose the most effective methods out of that list. RK4 is almost never efficient. And even non-stiff ODE solvers are getting algorithmic improvements in the 2000's.
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
Basic DiffEqDevTools.jl repo stats
3
46
8.5
12 days ago
SciML/DiffEqDevTools.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of DiffEqDevTools.jl is Julia.
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