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GitHub / SciML / GlobalSensitivity.jl

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FGlobalSensitivity.jl

Stars: 44
Forks: 20
Open Issues: 22

License: mit
Language: Julia
Repo Size: 9.03 MB
Dependencies: 29

Created: over 3 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Commit Stats

Commits: 290
Authors: 24
Mean commits per author: 12.08
Development Distribution Score: 0.49
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/GlobalSensitivity.jl

Topics: differential-equations, efast, global-sensitivity-analysis, gsa, julia, julia-language, julialang, morris-method, ode, ordinary-differential-equations, scientific-machine-learning, sciml, sensitivity-analysis, sobol-method

Funding links: https://github.com/sponsors/SciML

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