APS/Schulze demonstration

It´s been a while, but I finally implemented a [[Wikipedia:Schulze_method|Schulze]] ranking using everything that [http://m-schulze.webhop.net/ Schulze paper] offers. It has tie-breaking and path reconstruction, together with some statistics and coloring to make easier to track what the method did. It uses pairing APS as ballot.

Tried using % wins in [[Wikipedia:Schulze_method|Schulze]] but it failed miserably as everyone from rank 8 to 817 were tied together, making the system deteriorate into a [[Wikipedia:Random_ballot|random ballot]] ranking. [[Shadow]] tied together with [[Worst]] with tie-breaking relying on a coin-flip was not what I had in mind. As far as I understood what went wrong, normalizing wins dividing them by the number of battles sacrificed [[Wikipedia:Resolvability_criterion|resolvability]].

The results can be downloaded here (data using [[User:Darkcanuck|Darkcanuck]] 2011-08-09 backup): [http://sites.google.com/site/mnrobocode/files/rankings-20110809.part001.rar] [http://sites.google.com/site/mnrobocode/files/rankings-20110809.part002.rar] [http://sites.google.com/site/mnrobocode/files/rankings-20110809.part003.rar] [http://sites.google.com/site/mnrobocode/files/rankings-20110809.part004.rar]

I also added other ranking systems, like APS/Elo (batch), Premier League and APS that everyone is used to. Also added a [[Wikipedia:Minimax_Condorcet|Simpson-Kramer]] ranking, due to [[Skilgannon]] request to see who is performing best against each bot. [[Wikipedia:Minimax_Condorcet|Simpson-Kramer]] is also good as statistics for [[Wikipedia:Schulze_method|Schulze]].

I took [[User:Chase-san|Chase]] "for fun" advice seriously and tried to make something more appealing.