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Fortunately for you, we're only dealing with things like addition, multiplication, maybe sinus and even so we rely on the processor to do the job :-) The rest i
by fijal 15y ago
Fortunately for you, we're only dealing with things like addition, multiplication, maybe sinus and even so we rely on the processor to do the job :-) The rest is dealt by numeric guys from the original numpy and we're simply reusing those parts. It's important for us to understand how processors work and how to make sure we do exactly the same computations, but not much above that.
Besides, believe it or not, having non-english maths background makes you seem incredibly dumb (which might or might not be the case).
EDIT: I should maybe stress this point more. It's very important for us to get exactly the same results, or more numerically stable as original numpy, not just the same algorithms, so we won't be experimenting on that field.