As a counterpoint to the overly exuberant article let me chime in as a graduating theoretical computer scientist. Math is hard and despite its beauty and allure academic life doesn't take place in a vacuum- ergo there's a lot of politics and pettiness from your peers. You should expect to invest years of your life into making progress on some hard problem with little encouragement in the meantime, this takes a tremen…
Maybe I skimmed the article, but my takeaway from this article was that using our abilities to think and solve mathematical problems helps us to live a life of more intellectual resilience. In my view, this wasn't about doing mathematics as an academic career, climbing up the ivory tower, publish or perish, and all that. Edit: I tend to agree. My intellectual capacity was far improved only after doing first year Engi…
Same here, and thanks to the internet just remembering concepts is usually enough these days.
Yesterday I had to quickly guestimate for a project how much space overhead we'd have on the server if we pre-generated an image pyramid of tiles for leaflet.js[0], instead of generating a "PNG" in RAM on the fly each time and serving that. Then I realised the number of pixels shrinks by a quarter every time we zoom out, so the worst case would be the infinite sum of 1/4^n. While I vaguely remember from my first year of physics how to calculate that, it's been over a decade. But we have Wolfram Alpha these days[0], which told me it converges on 4/3. So I knew the upper boundary would be around 4/3 of our original data, plus negligible PNG header overhead, and assuming compression is about the same.
[1] https://www.wolframalpha.com/input/?i=sum+of+1%2F(4%5Ek)