the domain of optimization, broadly, entails "finding the most efficient way to satisfy all your constraints"
there's room for improvement in domain modeling, dimensional analysis, optimization strategy, etc. many ways to get better at solving problems!
all you gotta do is try
the formal study of such problems has yielded a treasure trove of insights, which are, tragically, not available to most
but if you're willing to learn a bit of math, you can unlock them
the tools we've built for ourselves are there for the taking
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RT @pee_zombie
simulated annealing tends to emerge as a natural solution in any domain which meets certain criteria
highly complex search space
NP-hard optimization problem
hysteresis
…
https://twitter.com/pee_zombie/status/1389706157292507137
while there's typically no need to get super rigorous & actually quantify everything, framing your problem using these concepts can really help you make sense of it
mathematics is a collection of magical artifacts we can wield with our minds to gain power
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RT @acidshill
if you’ve ever read ancient philosophy texts, like the bible or plato’s dialogues, one thing you will notice (or should notice) is that the way they present ideas is …
https://twitter.com/acidshill/status/1425863434374025216