DiffEqSensitivity.jl is a component package in the SciML Scientific Machine Learning ecosystem. It holds the sensitivity analysis utilities. Users interested in using this functionality should check out DifferentialEquations.jl.
forked from SciML/SciMLSensitivity.jl
-
Notifications
You must be signed in to change notification settings - Fork 0
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
License
ETHFoamers/DiffEqSensitivity.jl
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
Resources
License
Stars
Watchers
Forks
Packages 0
No packages published
Languages
- Julia 99.8%
- TeX 0.2%