nightowl03d

5 ms·

1. 1.▲
   by nightowl03d 14y ago

   I should have said a well chosen epsilon. If the computation is good to 0.001, (based on a detailed error propagation analysis of the algorithm against the expected input range), then I would use an epsilon of 1/512 when comparing against a
2. 2.▲
   by nightowl03d 14y ago

   Unless this is a numeric simulation where performance really matters, the correct answer is that you should not be using floats in the first place. Use a rational type, or scaled integers instead. If this is a numerical computation the comp
3. 3.▲
   by nightowl03d 14y ago

   If you have experience solving hard problems that helps. I had the good fortune of doing so in graduate school. That lead to a job solving another totally unrelated hard problem, with a technology stack totally unrelated to my graduate work
4. 4.▲
   by nightowl03d 14y ago

   When I was an undergrad and graduate student I got into the habit of always doing the readings pencil in hand, which involves filling in the details of the important proofs, and doing some simple problems of my own devising before going to
5. 5.▲
   by nightowl03d 14y ago

   That is funny, every time I see a course with a bunch of video lectures and no notes and reading list I move on. My strong preference for on-line learning is a reading list, ideally spread between no more than 3 or 4 books, a syllabus, and