patrick-kidger / patrick-kidger/diffrax

Adaptive SDE Docs

Open
#471 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

question
Dominant language
Python
Stars
2.1k
Forks
189
Avg merge
3d 18h
Merged PRs (30d)
1

Description

In the docs under adaptation, it says "To perform adaptive stepping with SDEs requires commutative noise. Note that this commutativity condition is not checked."

Is this universally true? Can't you do improved Euler without commutative noise SDEs and still use adaptive methods? I thought this commutative requirement was just for Levy Area solvers

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

Read the adaptive-stepping documentation under adaptation and the linked “How to choose a solver” section first. Check the stated commutative-noise requirement against improved Euler and Lévy area solvers, then update the documentation so the scope of the requirement is explicit and the linked guidance is consistent.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.