Working on elementary aspects of matrix math, I've defined what I think are L1-
and L2- norm and normalization verbs for real vectors.
normL1 =: +/@:|
nize1 =: ] % normL1
normL2 =: +/@:*:
nize2 =: ] [EMAIL PROTECTED] normL2
If I've done the math right, for any real vector "theList", the statement
nize2 normL2 theList
should produce 1.
In practice this often deviates from 1 by an appreciable degree. I interpret
that to be due to the rounding involved in the calculations. Is that what
causes results beyond the normal tolerance?
If so, is there a standard or basic technique to compensate for this kind of
rounding error? Or does this throw us into the need for special math
utilities, or something even more involved?
Tracy Harms
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