Nonlinear bipartite matching

  • Authors:
  • Yael Berstein;Shmuel Onn

  • Affiliations:
  • Technion - Israel Institute of Technology, 32000 Haifa, Israel;Technion - Israel Institute of Technology, 32000 Haifa, Israel

  • Venue:
  • Discrete Optimization
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We study the problem of optimizing nonlinear objective functions over bipartite matchings. While the problem is generally intractable, we provide several efficient algorithms for it, including a deterministic algorithm for maximizing convex objectives, approximative algorithms for norm minimization and maximization, and a randomized algorithm for optimizing arbitrary objectives.