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A Fast Algorithm for Computing the Maximum Weight Base in a Linear Matroid

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Presents an algorithm that outputs the greedy maximum-weight base of a linear matroid in time roughly the number of nonzeros of the input matrix plus r^{ω} plus a mild n^{1+o(1)} overhead, where r is the rank. It achieves this by using rank-preserving linear sketches to compress intervals of columns, then a divide-and-conquer with projections that contracts selected columns and recurses, with O(log n) filtering rounds; works as a first concrete speedup when n ≫ r.

AI-written summary · about

  1. 0:00Introduction
  2. 0:36Background
  3. 3:23Definition of Major
  4. 4:59Spanning Tree
  5. 5:48Linear vectors
  6. 7:08Maximum weight spanning trees
  7. 7:58Computing the maximum weight base
  8. 9:17Special cases
  9. 13:02Method
  10. 13:43Rank Sketch
  11. 15:30Divine Contour
  12. 17:57Running Time
  13. 22:20Problem Solving
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