Optimal ET sequence: Difference between revisions
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Many [[regular temperaments]] documented on the wiki are accompanied with an '''optimal | Many [[regular temperaments]] documented on the wiki are accompanied with an '''optimal ET sequence''', which suggests some useful [[equal tuning]]s to tune the temperament as well as [[mos scale]]s available. Technically, it gives [[generalized patent val]]s (GPVs) for [[equal temperament]]s which [[support]] the temperament, where each subsequent GPV included improves upon the [[TE error]] of the previous GPV, though no standard beginning cutoff to the list has been specified. | ||
== Computation == | == Computation == | ||
Optimal GPV sequences can be computed using [[Flora Canou]]'s [https://github.com/FloraCanou/temperament_evaluator Temperament Evaluator], using the <code>et_sequence</code> function. For example, here is how the optimal GPV sequence for [[No-threes subgroup temperaments #Yer_.28rank_3.29|Yer temperament]] was determined, by providing its comma basis and subgroup: | Optimal GPV sequences can be computed using [[Flora Canou]]'s [https://github.com/FloraCanou/temperament_evaluator Temperament Evaluator], using the <code>et_sequence</code> function. For example, here is how the optimal GPV sequence for [[No-threes subgroup temperaments #Yer_.28rank_3.29|Yer temperament]] was determined, by providing its comma basis and subgroup: | ||
< | <syntaxhighlight lang="python"> | ||
import | import et_sequence as ete | ||
import numpy as np | import numpy as np | ||
ete. | ete.et_sequence(np.array([[7, -4], [-1, 1], [-1, -1], [-1, 0], [1, 1]]), subgroup=[2, 11, 13, 17, 19]) | ||
</ | </syntaxhighlight> | ||
Which produces the list: 13, 24, 33, 37, 46, 57, 70, 127. | Which produces the list: 13, 24, 33, 37, 46, 57, 70, 127. | ||
[[Category:Regular temperament theory]] | [[Category:Regular temperament theory]] | ||