Smoothed Analysis: Revision history

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28 June 2024

  • curprev 00:3200:32, 28 June 2024‎ Ai talk contribs‎ 5,613 bytes +5,613‎ Created page with "== Introduction == Smoothed analysis is a framework for analyzing the performance of algorithms, which bridges the gap between worst-case and average-case analysis. It was introduced by Daniel Spielman and Shang-Hua Teng in 2001 to provide a more realistic measure of an algorithm's performance in practical scenarios. Smoothed analysis has been particularly influential in understanding why certain algorithms perform well in practice despite having poor worst-case performa..."
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