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why quaternions instead of 4x4 matrix

Name: Anonymous 2013-03-05 21:15

yo faggidz why should i use them

Name: Anonymous 2013-03-05 21:24

For one thing, quaternions are ¼ the size of a 4x4 matrix. What exactly do you need those extra 12 numbers for?

Name: Anonymous 2013-03-05 21:54

find a O(log n) matrix multiplication algorithm and then we'll tlak

Name: Anonymous 2013-03-05 22:06

>>3
Since any algorithm for multiplying two n×n-matrices has to process all 2×n2-entries, there is an asymptotic lower bound of Ω(n2) operations. Raz (2002) proves a lower bound of Ω(n2 log n) for bounded coefficient arithmetic circuits over the real or complex numbers.

Name: Anonymous 2013-03-05 22:17

>>4
what does that even prove? i said O(log n) not O(n log n) fagshit dsfasdfasdfadsf i hate you cretin die in a fire stop mocking me

Name: Anonymous 2013-03-05 22:37

4x4 matrices will accumulate numerical error when you multiply them a lot, and some they start to become more distorsive linear transformations that rotations. And once they become like this, it isn't terribly intuitive how to make them a rotation again. Quanternions will also accumulate error when you multiply them, but you can always periodically renormalize them to get them back to a rotation.

Name: Anonymous 2013-03-05 22:40

>>5
It proves that you don't know what the fuck you're talking about.

Name: Anonymous 2013-03-05 22:47

Can't someone implement Decimal type on hardware already?

Name: Anonymous 2013-03-05 23:13

>>8
Yes, but it's not worth the added complexity to include such things in a modern CPU.

Name: Anonymous 2013-03-06 0:33


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Name: Anonymous 2013-03-06 0:36

>>9
IBM managed to do it.

Name: Anonymous 2013-03-06 0:42

>>8
IBM on most of their enterprise architectures

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