patrick-kidger / patrick-kidger/diffrax

Add differentiable event handling

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feature
Dominant language
Python
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Description

One thing that needs thinking about is how this compares to the use of jump processes as a driving control, which morally speaking do something very similar.

  • Discrete terminating events
  • Discrete non-terminating events
  • Continuous terminating events
  • Continuous non-terminating events

The continuous events can be implemented by using the most recent dense_info and performing a nonlinear solve to locate the event location.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the existing discrete terminating-event implementation and how the most recent dense_info is exposed; the issue names no file or test. Compare the completed case with the three unchecked combinations, using a nonlinear solve to locate continuous event positions. Done means the remaining event types are implemented and their relationship to jump processes is clarified.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
20/100

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