SciML / SciML/StructuralIdentifiability.jl

Working directly on expressions for local identifiability

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enhancement
Dominant language
Julia
Stars
129
Forks
23
Avg merge
9h 35m
Merged PRs (30d)
17

Description

Sometimes (see #128) the equations have the nested structure which, after unfolding into a rational function, becomes prohibitively large. For these cases it would be cool to have the local identifiability test working directly on expressions via symbols automatic differentiation, I believe that the original Sedoglavic algorithm we use can be extended to do this.

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 issue #128 and the linked Sedoglavic algorithm paper to understand the nested-expression case and the proposed automatic-differentiation approach. Done means the local identifiability test can operate directly on expressions without first expanding them into a prohibitively large rational function.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
tooling
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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