README

= Some Algorithms made in Erlang for Fun =

Here are some classic algorithms solved (more or less) in Erlang for the fun of it.


== Closes Points ==

Find the closest pair of pints from a list of 2D points.

This is an implementation in Erlang of a well known recursive divide and
conquer algorithm with complexity O(n log n).

How to use::

  $ make shell
  1> Data = closest_points:random_data(10000).
  2> closest_points:find_closest(Data).
  3> closest_points:benchmark(10000, 10).
 
 
== Subset Sum ==

Find a sub-set of a list of integers summing zero.

This one is an approximation that could give false positive for lists bigger
than 32, but otherwise should be very fast to find a subset summing zero
in a uniform distribution, even for lists of 1000000+ integers.
  
How to use::

  $ make shell
  1> Data = subset_sum:random_data(10000).
  2> subset_sum:find_subset(Data).
  3> subset_sum:benchmark(10000, 10).