----- Original Message -----
From: <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Saturday, November 24, 2001 6:49 PM
Subject: Factoring benefit/cost ratio (was: Mersenne: Fw: The Mersenne
Newsletter, issue #18)

> But ones factoring benefit calculation might ["should" would be in
> line with the popular theme of prescribing what's best for other
> GIMPS participants :)] include not only the time savings of
> eliminating the need for one or two L-L tests, but also the extra
> benefit of finding a specific factor.

I can see no way of objectively quantifying this benefit.

> In the GIMPS Search Status table at www.mersenne.org/status.htm the
> march of progress is from "Status Unknown" to "Composite - One LL" to
> "Composite - Two LL" to ... "Composite - Factored".

More desireable - whether or not recorded on that page - would be
"Composite - Least (or greatest) factor known".  Most desireable (other than
"Prime") would be "Composite - Completely factored'.

> This reflects the view (with which I agree) that it is more valuable
> to know a specific factor of a Mnumber than to know that a Mnumber is
> composite but not to know any specific factor of that Mnumber.
>
> So a "Factored" status is better for GIMPS than a "Two LL" status, but
> calculations of factoring benefit that consider only the savings of
> L-L test elimination are neglecting the difference between those two
> statuses.  If one consciously wants to neglect that difference ...
> well, okay ... but I prefer to see that explicitly acknowledged.

It seems to be implicitely acknowledged in the way the trial factoring
depths are determined.  If one places a non-zero value on a known factor,
then the utility of extra factoring work on untested, once tested, and
verified composites would be increased.  It would have to be set very high
indeed to make it worth while returning to verified composite Mersennes.

> Richard Woods

Daran G.


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