This week, a customer of our software asked a seemingly innocent question;
given a set of tools of various lengths, he wanted to find subsets of those
tools which, when combined, can be used to manufacture a screw of a given
length.
From the description, I deduced that we were talking about a variation of
the
subset sum problem
which is a special case of the
knapsack problem.
Faint memories of my time at university arose; I couldn't resist
the weird intellectual tickle. Or maybe it was just the beginning of my
pollen allergy for this year
Anyway, I searched high and low on my
quest to reacquire long-lost knowledge.
One of the weirder search results was a TV show called
Des chiffres et des lettres
which has been running for ages now on French TV. In that show, they
play a game called "Le compte est bon" which is actually a variation
of the subset sum problem! The candidates are supposed to solve this puzzle
in about a minute or so during the show. Wow - these French guys must
be math geniuses!
Anyway, I couldn't help but try a
subset sum algorithm in Lisp.
I ran it both using CLISP and the implementation of Lisp provided in
CoCreate OneSpace Modeling. I started to collect
some benchmark results for CLISP, comparing interpreted and compiled
code to get a better feeling for the kind of improvements I can expect
from the CLISP compiler. In the case of CLISP, the compiler improves
runtime by roughly an order of magnitude. See the
discussion of the algorithm for detailled results.
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