Yes I do not see how my statement that I do not expect J to resolve
these problems differs from your statement that it is a programming
issue and not a language issue.
I merely observe that when one person considered something noise, it
may not actually meet the definition of noise and may actually
represent a loss of information. Obviously it is information not
interesting to everyone.
I do not grasp why you do not see why I am interested in knowing the
precision of J before I use it because I think it is somewhat
analogous to you needing to know the precision of a program I
produced before you called on it as a subroutine.
What is and is not built in varies by language. There is much built
in to J that was not built in to APL. There may or not be other
languages that have things built in to them that are not built in to
J. This is all that I am trying to discover.
In my experience such a process of discovery could be aided by others
who are expert with the language one is trying to explore rather than
deferring to such time as you my or may not become an expert yourself
and such information can be used in decision making. In some cases
however there may be no one with the time or inclination to share
such information.
Thanks
Donna
[EMAIL PROTECTED]
On 28-Jun-06, at 9:39 PM, John Randall wrote:
dly wrote:
I am not expecting J to resolve these problems I a merely trying to
ascertain how J has improved from APL and to know its limitations
before thinking of applying it to some problems.
Donna:
In my opinion, what you are getting at is a programming issue, not a
language issue.
All languages can easily represent rational numbers as
canonicalized pairs
of integers: J happens to have them built-in. If you need to deal
with
non canonicalized pairs, it is easy to do that too, although this
is not
built-in in J.
The matrix similarity questions I mentioned needs the programmer to
keep
in mind the ring over which the similarity is being constructed. I
do not
see how the language is going to do that for you.
Best wishes,
John
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