GradDog Documentation - Release 1.3.0

Authors: Ivan Shu, Max Cembalest, Peyton Benac and Seeam Shahid Noor

Welcome to the official documentation of GradDog. One of the greatest thing about our GradDog is that it can do automatic differentiation for humans. The table of contents below and the search bar on the top left should allow you to nagivatate our package easily with the topics of your own interest.

The main documentation content is organized into the following sections:

General

• About

Getting started

• Software organization
• Installation

Tutorials

• Basic Demos
• Tool Demos
• Implicit Variables
• Reverse Mode (Extension)
• Hessian (Extension)

Software design

• Implementation Details

Future Development

• Further Extensions
• Applications