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Dynamic Algorithms for Packing-Covering LPs via Multiplicative Weight Updates

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Maintains fractional solutions to general packing and covering LPs under partially dynamic updates and proves both upper and conditional lower bounds: a near-optimal deterministic ε-approximation with polylogarithmic amortized update time using a dynamized multiplicative-weights-update (MWU) scheme, T ≈ λ log n / ε^2 rounds in the static view, phase-based batching to get near-linear preprocessing, and a lemma that each constraint is “enforced” only polylog many times; shows fully‑dynamic or worst‑case bounds are ruled out by SETH-style reductions.

AI-written summary · about

  1. 0:00Introduction
  2. 3:28Problem setup and definitions
  3. 9:18Static algorithm
  4. 16:37Algorithm analysis
  5. 26:21Dynamization insight
  6. 33:01Near linear time implementation
  7. 39:05Dynamic challenges and conclusion
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