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A strongly polynomial algorithm for generalized flow maximization

Conference Paper Accepted Paper Algorithms and Complexity · Theoretical Computer Science

Abstract

A strongly polynomial algorithm is given for the generalized flow maximization problem. It uses a new variant of the scaling technique, called continuous scaling. The main measure of progress is that within a strongly polynomial number of steps, an arc can be identified that must be tight in every dual optimal solution, and thus can be contracted.

Authors

Keywords

  • combinatorial algorithms
  • generalized flows
  • linear programming
  • strongly polynomial algorithms

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
1126191102195886154
v2026.09.13