Practical Fractals in Space
summary
Argues that space‑filling curves truly map multi‑dimensional keys into a single order that preserves locality and gives concrete implementations: bit interleaving for Morton (Z-Order), gray‑code + rotations for Hilbert, worked examples and code in Julia+Gadfly. Compares tradeoffs (Morton is simple but makes large jumps, Hilbert gives better locality at higher implementation complexity), shows a 3D print, cites SLURM’s hilbert.c and use cases: navigation, image search, collision detection.
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chapters (5)
- 0:00Start
- 2:49Logistic Map in C++
- 25:32properties of fractals
- 32:36Collision Detection
- 34:432D is easier for our brains to handle.
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