We have hosted the application implicitdifferentiation jl in order to run this application in our online workstations with Wine or directly.


Quick description about implicitdifferentiation jl:

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


Programming Language: Julia.
Categories:
Data Visualization

Page navigation:

©2024. Winfy. All Rights Reserved.

By OD Group OU – Registry code: 1609791 -VAT number: EE102345621.