### Automatic differentiation in C++ ###

Day 2: Reading about the theory of Automatic differentiation

Today I didn't do much unfortunatly as I was busy with other stuff. I read a bit about the two types of automatic differentiation: forward and backward. I got the gist of it and understood when to use each one.

I'll be digging deeper the following day, and will try to put a good explanation of each method throughout my journey understanding and implementing them.

The theory isn't hard as this is basically an application of the chain rule. Both approaches shouldn't be too hard to implement, though I'll need to read more about the dual numbers thing for the forward AD implementation.

Sorry for the late replay. Here's the ones I've checked:
- https://auto-ed.readthedocs.io/en/latest/mod1.html Great one and the most complete.
- https://getcode.substack.com/p/automatic-differentiation-from-forward Has good explanation some Rust implementation.

Can you share the links for the automatic differentiation theory, please?
Great post as usual btw. 
5200 $degen