Perhaps, I should explain my rationale for the terms I chose, my first
preference is `echelonize(v)`  (although I wrote it second) because, what
the function returns amounts to its reduced row echelon form, if you think
of it as 1 x n matrix.

~KnS.


On Sat, Dec 1, 2012 at 3:47 AM, Keshav Kini <keshav.k...@gmail.com> wrote:

> Kannappan Sampath <kntri...@gmail.com> writes:
> > Here's a "natural" place where I can see this is helpful:
> >
> > To carry out, Gauss-Jordan like row reductions, where you'd like the
> > first non-zero entry in a row (the so-called pivot) to be 1, I think
> > this is very helpful.
> >
> > So, I'd be **for** keeping this, perhaps in a different name, that
> > would reflect this. Like `reduce(v)` or perhaps, `echelonize(v)` for
> > instance.
>
> I vote for monicize() ;)
>
> -Keshav
>
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