Absolutely, if you're looking for advanced books on differential equations, I'd recommend "Partial Differential Equations" by Lawrence C. Evans for a comprehensive coverage of PDEs. For a more specialized focus on Ordinary Differential Equations, "Ordinary Differential Equations" by Vladimir I. Arnold is a fantastic choice. And for a deep dive into Stochastic Differential Equations, check out "Stochastic Differential Equations" by Bernt Øksendal.
google spreadsheet is an automated way to maximize coverage/effort, perhaps with GPT interface. Google spreadsheet api does have better internet acces/storage capacity[0][1][3] than typical pc box. Rate limited text/phone plan suggested. Something about a reference pointer of address [4][2] comes to mind. Unverified how much NP coverage automation can provide.<p>[0] : "Comprehensive List of Mathematical Symbols: Complete Version" by M
ath Vault<p>[1] : <a href="https://aplwiki.com/wiki/Comparison_with_traditional_mathematics" rel="nofollow noreferrer">https://aplwiki.com/wiki/Comparison_with_traditional_mathema...</a><p>[3] : The economics of programming languages : <a href="http://www.youtube.com/watch?v=XZ3w_jec1v8">http://www.youtube.com/watch?v=XZ3w_jec1v8</a><p>[4] : <a href="https://en.wikipedia.org/wiki/The_Hitchhikers_Guide_to_the_Internet" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/The_Hitchhikers_Guide_to_the_I...</a><p>[2] : <a href="https://archive.org/details/s01e00hhgttgdouglasadamsbbcboo" rel="nofollow noreferrer">https://archive.org/details/s01e00hhgttgdouglasadamsbbcboo</a>
Particular branch of math (geo/algebra/logic/linear/non-linear)/non-math disciplines (science,engineering, statistics, communication, etc)