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Fixed-Parameter Sensitivity Oracles

Talkat ITCS 2022 · 2022-01-31..02-03
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Proposes fixed-parameter sensitivity oracles that preprocess a graph for up to f simultaneous edge failures while keeping parameter k fixed. For vertex cover the paper builds an equivalent kernel and gives a data structure with space 3^{F+K} and query 2^F, an alternative with query K^2 but preprocessing exponential in K, and a polynomial-space (O(K^2)) version with query ~1.274^K. For k‑path it gives a randomized oracle with space ~k^{F+1}, preprocessing ~1.657^K, query O(F^2), plus a sampled-subgraph tradeoff; for distances it produces F-independent linear-size preservers when allowing an additive k slack.

AI-written summary · about

  1. 0:00Introduction
  2. 6:23Vertex Cover
  3. 11:25K Path
  4. 15:47Example
  5. 19:49Conclusion
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