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Computing Cut-Based Hierarchical Decompositions in Almost Linear Time

Talkat Fast Algorithms via Spectral Methods 2014 · 2014-12-01..12-05
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slides:none on file

Constructs a flow sparsifier that is a tree for k-terminal graphs and proves it yields an oblivious routing with similar competitive ratio; quality is roughly O(log^2 k · log^2 n) (quality unfortunately still depends on n). Algorithm builds a hierarchical decomposition using a KRV cut-matching style scheme and runs in almost-linear time by making only a polylog many approximate max-flows (uses Sherman/Kelner routines and ultrasparsification).

AI-written summary · about

  1. 0:00Intro
  2. 0:41Cut Sparsifiers/Flow Sparsifiers
  3. 10:17Previous Work
  4. 13:21Oblivious Routing Scheme from Tree
  5. 16:53Hierarchical Decompositions & Oblivious Routing
  6. 18:12Oblivious Routing Scheme - A Single Cluster S
  7. 23:17Recursive Approach for a Single Tree
  8. 26:25New Approach
  9. 33:25Routing Along a Single Cluster
  10. 38:09Simple Algorithm
  11. 42:40Improvement?
  12. 44:11Adapted KRV.framework
  13. 48:32Improvement by Richard Peng
  14. 50:53Conclusions/Problems
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