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Toward Optimal Semi-streaming Algorithm for (1+ε)-approximate Maximum Matching

Talkat Workshop on Local Algorithms (WoLA) 2024 · 2024-08-05..08-07
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slides:none on file

Deterministic algorithm achieves O(ε^-6) semi-streaming passes for (1+ε)-approximate maximum matching on general graphs, improving prior O(ε^-19). It implements alternating trees and blossom contraction to represent blossoms compactly, caps each tree by freezing tree size at 1/ε^2, and proves overtaking chains have length ≤1/ε so trees cannot explode. Same framework yields the analogous round complexity speed-up in MPC and CONGEST.

AI-written summary · about

  1. 0:00Introduction
  2. 1:24Problem definition
  3. 3:57Research history
  4. 6:53Bipartite vs general graphs
  5. 7:56Bipartite algorithm overview
  6. 14:26Challenges in general graphs
  7. 16:40Alternating tree approach
  8. 22:32Algorithm simplicity
  9. 23:17Correctness proof
  10. 28:01Open problems
  11. 28:46Q&A
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