[PYTHON MATRIX-SIG] ARRAY COMPARISONS
Geoffrey Furnish
furnish@laura.llnl.gov
Fri, 25 Oct 1996 09:19:46 -0700
Alistair Mees writes:
> tim@lassi.ece.uiuc.edu writes:
> > >ARRAY COMPARISONS
> > >
> > >There has been quite a bit of discussion of array comparisons
> > >recently. I seem to have missed the early stages so perhaps
> > >this has all been dealt with, but just in case...
> > >
> > >
> > >Inequalities are often generalised to work for vectors and
> > >matrices. For example, x>=0 where x is a vector means x[i]>=0
> > >for every i. Unfortunately M>=0 where M is a matrix sometimes
> > >means the analogous thing to x>=0 and sometimes means M is
> > >positive semi-definite. Either of these would presumably be
> > >implementable by defining suitable __cmp__ functions.
> >
> > The problem is that __cmp__ can only validly return an
> > integer. Notice that for your first example that am array might
> > be neither >=0 nor <0 ([1,-1] comes to mind), so there's really
> > no valid value to return.
> That is not a problem. The answer to "is [1,-1]>=0" is "no" so you
I would expect in an array language that the answer to
"is [1,-1]>=0"
would be
"[1, -1]"
> It seems to me that one of the reasons APL never made it was that it
> insisted on talking its own language which was internally self-consistent
> but had little to do with any language talked by others. Conversely,
> Matlab, with its horrid "bad Fortran" syntax, is very popular in part
> because it never strays really far from standard notation. If we are to
> sell NumPy to users, shouldn't we try to make the operators mean what
> typical users will expect them to mean, or will learn that they mean in
> mathematics courses, rather than defining them to be something completely
> different?
Well, if I'm the "typical Joe" in this example, your interpretation
certainly seems unfamiliar. The "vector mask" analogy is more common
in my experience. For reference: I've never used Matlab.
--
Geoffrey Furnish email: furnish@llnl.gov
LLNL X/ICF phone: 510-424-4227 fax: 510-423-6172
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