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Draw a medial tire cut from a random n=20 graph

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Add experiments/draw_medial_tire_cut.py, the paper-graphics companion
that imports run_experiment and emits a TikZ panel (walk-depth labels +
cut slits) per recognised tread via to_tikz. Add the resulting figure
(Example 3.2, Figure 2): the single recognised tread T_2 of the medial
tire decomposition of a random maximal planar graph on 20 vertices
(seed 72), an 8-cycle piece with a bite, labelled and cut.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
didericis
2026-06-14 23:55:00 -04:00
parent a22ca4b888
commit 9d7cb7644e
5 changed files with 151 additions and 7 deletions
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papers/medial_tire_cuts/paper.log
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This is pdfTeX, Version 3.141592653-2.6-1.40.24 (TeX Live 2022) (preloaded format=pdflatex 2022.10.5) 14 JUN 2026 23:46
This is pdfTeX, Version 3.141592653-2.6-1.40.24 (TeX Live 2022) (preloaded format=pdflatex 2022.10.5) 14 JUN 2026 23:54
entering extended mode
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[2] [3] [4] (./paper.aux) )
Here is how much of TeX's memory you used:
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Output written on paper.pdf (4 pages, 176366 bytes).
Output written on paper.pdf (4 pages, 180590 bytes).
PDF statistics:
85 PDF objects out of 1000 (max. 8388607)
52 compressed objects within 1 object stream