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But I'm not sure I'd recommend going into the field. There's something demoralizing about doing research on something which already has dozens of valid and succ
by ghtbircshotbe 11mo ago
But I'm not sure I'd recommend going into the field. There's something demoralizing about doing research on something which already has dozens of valid and successful methods, of which you are trying to create a slightly more optimized version.
- bell-cot 11mo agoIt's not for a field for everyone. But that "slightly more optimized version" may mean "one that does not quietly produce disastrously incorrect results for some input values".
- ghtbircshotbe 11mo agoI should probably qualify my statement more. There are certainly new and interesting problems in numerics. And even going from say O(n) convergence to O(n log n) convergence can lead to whole new classes of problems you can solve. I don't want to discourage anyone who loves numerics. What I was trying to say was that as a graduate student you might be given a problem that already has many really good and smart solutions and be essentially told to find a better solution than all of these. How this goes will depend a lot on the specific problem, your advisor, etc.
- amirhirsch 11mo agoI am so into optimizing fast polynomial multiplication I assure you there is nothing that will demoralize me from creating a slightly more optimized version.
- sigmoid10 11mo ago>something which already has dozens of valid and successful methods, of which you are trying to create a slightly more optimized version If you ever get a PhD, you'll find that this is pretty much all of academia.