Download
ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms.
Features
- Package for automatic differentiation of functions defined implicitly
- Documentation available
- Examples available
- Licensed under the MIT License
- Automatic differentiation of implicit functions
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow ImplicitDifferentiation.jl
Other Useful Business Software
The Most Powerful Software Platform for EHSQ and ESG Management
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ImplicitDifferentiation.jl!
