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intervalxt is a C++/Python library which implements algorithms on Interval Exchange Transformations (IETs). In particular, we implement the Boshernitzan Algorithm and Rauzy Induction on IETs. Our principal application is the decomposition of a measured foliation into periodic and minimal components. We certify that a component is minimal with the Boshernitzan Algorithm or by certifying that the Rauzy Induction will be looping infinitely. Note that presently the algorithm is probably incomplete; in rare cases no further decomposition of a component seems to be possible, nevertheless, our criteria fail to certify minimality of the component. Please visit our homepage for more information.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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