adj. Describes a primitive programming style, one in
which the programmer relies on the computer's processing power
instead of using his or her own intelligence to simplify the
problem, often ignoring problems of scale and applying na"ive
methods suited to small problems directly to large ones.
example of a brute-force algorithm is associated
with the `traveling salesman problem' (TSP), a classical NP-
problem Suppose a person is in, say, Boston, and wishes to drive
to N other cities. In what order should he or she visit
them in order to minimize the distance travelled? The brute-force
method is to simply generate all possible routes and compare the
distances; while guaranteed to work and simple to implement, this
algorithm is clearly very stupid in that it considers even
obviously absurd routes (like going from Boston to Houston via San
Francisco and New York, in that order). For very small N it
works well, but it rapidly becomes absurdly inefficient when
N increases (for N = 15, there are already
1,307,674,368,000 possible routes to consider, and for
N = 1000 --- well, see bignum
A more simple-minded example of brute-force programming is finding
the smallest number in a large list by first using an existing
program to sort the list in ascending order, and then picking the
first number off the front.
Whether brute-force programming should be considered stupid or not
depends on the context; if the problem isn't too big, the extra CPU
time spent on a brute-force solution may cost less than the
programmer time it would take to develop a more `intelligent'
algorithm. Additionally, a more intelligent algorithm may imply
more long-term complexity cost and bug-chasing than are justified
by the speed improvement.
Ken Thompson, co-inventor of UNIX, is reported to have uttered the
epigram "When in doubt, use brute force". He probably intended
this as a ha ha only serious
, but the original UNIX kernel's
preference for simple, robust, and portable algorithms over
`smart' ones does seem to have been a significant
factor in the success of that OS. Like so many other tradeoffs in
software design, the choice between brute force and complex,
finely-tuned cleverness is often a difficult one that requires both
engineering savvy and delicate esthetic judgment.