Efficient continuous-time dynamic network flow algorithms

  • Authors:
  • L. Fleischer;í. Tardos

  • Affiliations:
  • Department of Industrial Engineering and Operations Research, Columbia University, 330 SW Mudd Hall, New York, NY 10027, USA;Computer Science Department and School of Operations Research and Industrial Engineering, Cornell University, Ithaca, NY 14853 USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 1998

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Abstract

We extend discrete-time dynamic flow algorithms presented in the literature to solve the analogous continuous-time dynamic flow problems. These problems include finding maximum dynamic flows, quickest flows, universally maximum dynamic flows, lexicographically maximum dynamic flows, dynamic transshipments, and quickest transshipments in networks with capacities and transit times on the edges.