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juliahub.com : FMISensitivity
Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
Registry
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Source
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- JSON
purl: pkg:julia/FMISensitivity
Keywords: fmu, sciml, uncertainty, sensitivity, linearization, fmi
License: MIT
Latest release: 3 months ago
First release: 8 months ago
Dependent packages: 1
Stars: 6 on GitHub
Forks: 0 on GitHub
Total Commits: 6
Committers: 2
Average commits per author: 3.0
Development Distribution Score (DDS): 0.167
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Last synced: 21 days ago