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Electrical Flows Primitive and Fast Graph Algorithms

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Argues that electrical flow computed via fast Laplacian solvers becomes a basic primitive that, when wrapped in a multiplicative weights iterative scheme, yields provable speedups: approximate s–t max flow and minimum cut in near-linear (m polylog n) time, and faster routines for multicommodity and related problems. Shows the actual reduction, the solver and update steps, and runtime bounds; demonstrates the framework composes to give concrete algorithmic improvements over classic augmenting-path methods.

AI-written summary · about

  1. 0:00Start
  2. 17:48Path-following Interior-point method IPM
  3. 34:06Connection II: Random Spanning Trees
  4. 50:38Connection IV: Cover and Commute Times of Random Walks
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