CS264: Beyond Worst-Case Analysis Lecture - Randomized algorithms as zero-sum games - Document - PDFSEARCH.IO

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Date: 2014-12-29 00:22:18 Operations research Algorithm Mathematical logic Theoretical computer science Mathematical optimization Academia Mathematics Applied mathematics Dynamic programming Randomized algorithms as zero-sum games Randomized rounding		CS264: Beyond Worst-Case Analysis Lecture #20: From Unknown Input Distributions to Instance Optimality∗ Tim Roughgarden† December 3, 2014 Add to Reading List Source URL: theory.stanford.edu Download Document from Source Website File Size: 167,92 KB Share Document on Facebook

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