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Stuart Wayland

2022

Quantifying Gerrymandering with Simulated Annealing

We apply Markov Chain Monte Carlo with Simulated Annealing to detect gerrymandering, showing it effectively generates representative voting distributions. Results on Texas demonstrate its speed and reliability in identifying bias in districting plans, offering a powerful analytical tool.

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