SciML / SciML/ModelOrderReduction.jl
NTIM Phase/Timing Macromodeling
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- Dominant language
- Julia
- Stars
- 43
- Forks
- 8
- Avg merge
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- Merged PRs (30d)
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Description
From the catch-all tracking issue https://github.com/SciML/ModelOrderReduction.jl/issues/78
Implement NTIM: phase/timing macromodeling of nonlinear systems via Floquet analysis, producing a scalar nonlinear time-varying reduced model for timing/phase response.
https://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-217.pdf
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 cited EECS-2012-217 report to understand the NTIM method and its Floquet-analysis requirements. Identify the appropriate integration point in ModelOrderReduction.jl before implementing the scalar nonlinear time-varying reduced model. Done means NTIM supports phase/timing macromodeling of nonlinear systems as described in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- hpc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100