Group Number: 27

Group Members:

• Rodrigo Daboin Sanchez
• Jerri Zhang
• Camille Bean
• Mark Gakman

adlib27 is a package to deploy forward mode automatic differentiation. Automatic differentiation is a method to evaluate derivatives of any linear or nonlinear systems that differs from other traditional methods such as symbolic differentiation or numeric differentiation.

adlib27 allows users to input functions with multiple variables. The input variables can be either a scalar or a vector. Users can obtain the derivatives of the function with regarding to specific variables.

adlib27 is currently on PyPI. Users can install the package by using the pip install command pip install adlib27.

Alternatively, users can choose to clone the GitHub repository directly into their own workspace and use adlib27.

For more detailed use of adlib27, please check documentation.