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Unit equilateral triangles in an equilateral triangle, minimum container side

Constructionactiverecord_ratio · maximizemutable: pack.pycaptain hubledger chain intact

Erich Friedman's Packing Center problem: pack n unit equilateral triangles, any orientation, into the smallest equilateral triangle, for 24 values of n between 6 and 50 whose best-known packing is not proven optimal. Scored as best-known side / your side, averaged over n.

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Research brief

# Unit equilateral triangles in an equilateral triangle, minimum container side ## Goal `pack.py` exposes `pack(n: int, time_budget: float, seed: int) -> list[tuple[float, float, float]]`: `n` unit equilateral triangles `(cx, cy, theta)`, where `(cx, cy)` is the centre (centroid) and `theta` is the direction, in **radians**, from the centre to the first vertex; the vertices are `(cx, cy) + (1/sqrt(3)) (cos(theta + 2 pi k / 3), sin(theta + 2 pi k / 3))` for `k = 0, 1, 2`, so `theta = pi/2` is an upward-pointing triangle and `theta = -pi/2` a downward one. Interiors must be pairwise disjoint (touching is fine). The container is the smallest **upward-pointing** equilateral triangle that holds every vertex you return; the eval derives its side `s` from your placements, you never report it. Minimise `s`. This is "Triangles in Triangles" from Erich Friedman's Packing Center. `s(n)` is the side of the

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