I’m putting this in off-topic since my question is more general. I want to learn more about the sci-ml type packages eventually but feel like I lack some fundamental knowledge on *DEs and would therefore ask for recommendations on material to read about them (maybe a textbook or so). I have “seen” differential equations before during my masters but it was just an introduction. Any help is very much appreciated!

These are by far my fav lecture notes on DEs:

http://www-math.mit.edu/~poonen/notes03.pdf

They won him a teaching prize @ MIT.

Enjoy

Thank you!

Check out “Exploring ODEs” by Trefethen et al. It’s available free on his webpage.

Unfortunately it uses MATLAB.

Thank you! Maybe I can translate some models once I understand the packages better.

Zwillinger [1997] Handbook of Differential Equations, Academic Press, has a somewhat original approach.

For each technique covered, the author provides (quote):

• the types of equations to which the method is applicable

• the idea behind the method

• the procedure for carrying out the method

• at least one simple example of the method

• any cautions that should be exercised

• notes for more advanced users

• references to the literature for more discussion or more examples

I would highly recommend the Gil Strang lectures:

This sounds like my level. Thank you!

I definitely loved his lectures on linear algebra. He is an amazing teacher. Thanks!