Tenney–Euclidean temperament measures: Difference between revisions

m Cleanup on the table
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G and ψ error both have the advantage that higher rank temperament error corresponds directly to rank one error, but the RMS normalization has the further advantage that in the rank one case,  G = sin θ, where θ is the angle between J and the val in question. Multiplying by 1200 to obtain a result in cents leads to 1200 sin θ, TE error as it appears on the temperament finder pages.  
G and ψ error both have the advantage that higher rank temperament error corresponds directly to rank one error, but the RMS normalization has the further advantage that in the rank one case,  G = sin θ, where θ is the angle between J and the val in question. Multiplying by 1200 to obtain a result in cents leads to 1200 sin θ, TE error as it appears on the temperament finder pages.  


== Example in each definitions ==
== Examples of each definition ==
The different definitions yield different results, but they are related from each other by a factor of rank and limit. Meaningful comparison of temperaments in the same rank and limit will be provided by picking any one of them.  
The different definitions yield different results, but they are related to each other by a factor derived only from the rank and limit. A meaningful comparison of temperaments in the same rank and limit can be provided by picking any one of them.  


Here is a demonstration from [[7-limit]] [[magic]] and [[meantone]] compared in each definitions.  
Here is a demonstration from [[7-limit]] [[magic]] and [[meantone]], comparing each of the definitions.  


{| class="wikitable center-all"
{| class="wikitable center-all"