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Programming challenges: processing vectors and matrices
02-18-2019, 05:31 PM (This post was last modified: 02-18-2019 05:32 PM by pier4r.)
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RE: Programming challenges: processing vectors and matrices
John I am sure that counting development time the lists are faster thanks to their available functions. Considering only running time could be that lists are fast in your case because you use small sizes? (less than 250 elements)

Up to a certain length I have no doubt that arrays and lists for real numbers are practically the same in computational cost. And of course if one needs a complex data structure lists are the way to go. Arrays can hold only few numeric types.
I am a bit less sure when you work with a large amount of elements.

Also I think that some commands for matrices, vectors (and not only) are not that optimized. So they do the work reliably, but not in the fastest way possible. That leaves room for improvements as it was done for lists commands.

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RE: Programming challenges: processing vectors and matrices - pier4r - 02-18-2019 05:31 PM



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