Pseudorandom Pleasures
summary
Covers how Perlin/simplex gradient noise (invented for Tron, Perlin won a 1987 technical Oscar) produces values in [-1,1], why small input changes give small output changes, and why simplex is faster with fewer artifacts than classic PRNGs. Explains 1D vs 2D vs 4D noise and the computational cost of higher dimensions, shows additive “octave” layering to tune roughness, and builds a working, animatable recreation of the Joy Division unknown pleasures cover using stacked 1D bands -> 2D texture, with interactive demos on GitHub.
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