SciML / SciML/ModelOrderReduction.jl
IRKA / H₂-Optimal Model Reduction
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 43
- Forks
- 8
- Avg merge
- 11h 47m
- Merged PRs (30d)
- 14
Description
From the catch-all tracking issue https://github.com/SciML/ModelOrderReduction.jl/issues/78
Implement H₂-optimal LTI model reduction, starting with the Iterative Rational Krylov Algorithm (IRKA) and related methods (e.g. TSIA). Related Julia experimental notes exist in RobustAndOptimalControl.jl.
Reference list (pyMOR LTI MOR checklist): https://github.com/pymor/pymor/issues/388#issuecomment-892486556
https://github.com/JuliaControl/RobustAndOptimalControl.jl/blob/master/src/reduction.jl
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the catch-all tracking issue #78 and the referenced RobustAndOptimalControl.jl/src/reduction.jl, then consult the pyMOR LTI MOR checklist. Done means ModelOrderReduction.jl provides H₂-optimal LTI model reduction beginning with IRKA and addresses related methods such as TSIA.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- hpc, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100