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A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.

Home Page: https://diffeqzoo.readthedocs.io

License: MIT License

Python 97.45% Makefile 2.55%
numerical-methods scientific-computing boundary-value-problem initial-value-problem ordinary-differential-equations jax numpy

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diffeqzoo's Issues

Documentation for ODE problems

Must have:

  • A reference to the original paper (or whatever one can find)
  • A description of what it models, and why it is interesting

Nice to have:

  • Meanings of parameter names
  • Maths
  • Example usage of the function

One-dimensional problems

What do we do with one-dimensional problems? Implement them as scalars (0-dimensional arrays), 1-dimensional arrays, or both?

Design choices

Mention the design choices somewhere (implementation as raw as possible even if it implies a slightly annoying API, implement in a way that makes it easy to use for benchmarks and papers, take second-order, non-autonomous, mass-matric, problems seriously, etc.)

Rethink conversion functionality

  • should it be a subpackage, with a more granular functionality? for BVPs, vector field conversion remains the same, but the function does not apply anymore.
  • The jacobian conversion is incorrect. It does not convert the output appropriately.
  • The functionality is not used anywhere (e.g., in the notebooks), so I have no idea how useful it is.
  • Mark somewhere that it is very experimental (even more than the rest). Complete conversion is, in the end, something the user has to do.

Make notebooks a bit nicer

The notebooks are there and working, but

  • use the old API (with namedtuple outputs)
  • Have no text
  • Are not rendered with plots in the docs

Would be great to give them some care

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