AutoDyff MVP Release

What is AutoDyff?

AutoDyff is an intelligent and fast differential equation evaluator utilizing a custom implementation of the reverse mode differentiation algorithm. With easy of use for developers through a Python Package, REST endpoint, and cross-platform application, this is a heavily modular and extensible platform for computation calculus development.

Note: The Calculus Suite is called AutoDyff while the developer Python package is code-named "CalCoolUs"

What can it do?

Here is the exact list of operations it can do with infinite nesting as per chainrule¹:

• + (Addition)
• - (Subtraction)
• / (Division)
• * (Multiplication including var*var)
• ^ (Power excluding tetration)
• sin
• cos
• tan
• ln
• log
• arcsin
• arccos
• arctan
• cot
• csc
• sec
• sinh
• cosh
• tanh
• arccsc
• arcsec
• arccot
• sigmoid
• Parenthesis (a.k.a ( ))

Additionally the REST endpoint supports all the functions listed above through the following example POST request:

{
  "equation": "x^2",
  "equation": "5"
}

The current URL endpoint is at https://codermerlin.academy/vapor/brennan-coil/numerical_engine/endpoint and is prone to change.

Finally, our website is temporarily hosted at https://codermerlin.academy/vapor/brennan-coil/ and is prone to change.

What's Changed (All changes available in the dev branch commits)

• Moving README changes from feature to dev by @DragonflyRobotics in #1
• Dev to staging for README changes by @DragonflyRobotics in #2
• Staging to release after initial repository setup by @DragonflyRobotics in #3
• Fixed digital portfolio links; created in links by @DragonflyRobotics in #4
• Feature --- simple differentiation by @DragonflyRobotics in #19
• Merging MasterLogger to dev after completion by @DragonflyRobotics in #23
• Merging the NegXTokenizer by @DragonflyRobotics in #26
• Feature flask server setup complete by @DragonflyRobotics in #35
• Feature neg functions and many unary functions by @DragonflyRobotics in #36
• Adds e and pi by @DragonflyRobotics in #41
• Merging Feature coeffecients to dev by @DragonflyRobotics in #49
• fixes coeffecients with 2 constants by @DragonflyRobotics in #54
• Staging PR for MVP Release by @DragonflyRobotics in #74
• Finalize webserver and resolve CORS errors with POST requests by @DragonflyRobotics in #76
• Merges the final staging commit to release for MVP by @DragonflyRobotics in #77

Full Changelog: https://github.com/Allen-ISD-Computer-Science/REPO_AutomaticDifferentiation_2024/commits/v0.1.0-MVP

1. This is assuming no domain error and long computation times for longer equations. ↩