Comments (3)
You are right, examples in the README would be good.
Love the @interact
, works very well for demoing stochastic processes. If I can find a way to handle
.ipynb files under version control then we could put some in an examples directory.
I'll add these two examples to the README now:
I won't add the stochastic logistic model for now, as it has the slight complication of an extinction time if N reaches 0. If it crosses N=0, the diffusion is undefined after that and the integration then produces NaN values which generate warning messages in the notebook.
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.ipynb work in version control - they are just json files, and github renders them automatically.
you can diff them using nbconvert by converting them to md files, if you want.
I see your point about extinction, it can be avoided by choosing N(0) high enough, but it doesn't really matter to me, as long as there are some examples 👍
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@mattja can you give one sentence for each example describing where these equations arise in science?
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Related Issues (20)
- Give a more helpful error message if f returns an array with more than 1 dimension
- Allow the state y to be an array of arbitrary rank
- allow arguments to f and G functions HOT 5
- Citation HOT 3
- Extract noise? HOT 2
- Noise coefficient HOT 1
- automatically check the function input HOT 2
- is it possible to integrate jump process? HOT 1
- Random seed for reproducibility HOT 3
- Two-dimensional problem HOT 1
- Problem with 2D ITO integration HOT 4
- A question: Mechanical system with white noise external forces HOT 2
- Expectation and Variance HOT 8
- Only a question out of curiosity HOT 2
- BUG: initial conditions' type are not interpreted correctly HOT 2
- Allow passing a numpy Generator for random numbers HOT 1
- Implementation of first passage times
- High Dimensional Solver HOT 1
- Boundary conditions
- bibtex & integration order HOT 1
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