2012/11/09 by Jan-Philipp W. Kappmeier, Kappmeier, Jan-Philipp W., Jannik Matuschke +3
Computer Science · Engineering · Mathematics · #Advanced Graph Theory Research #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #G.2.2 #VLSI and FPGA Design Techniques #cs.DM #math.CO
paper · pdf · doi:10.48550/arxiv.1211.2177
ISAAC 2012 001-2012
openalex publication_date 2012/11/09 · arxiv created 2012/11/12 · arxiv updated 2012/11/13 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
Flows over time generalize classical network flows by introducing a notion of time. Each arc is equipped with a transit time that specifies how long flow takes to traverse it, while flow rates may vary over time within the given edge capacities. In this paper, we extend this concept of a dynamic optimization problem to the more general setting of abstract flows. In this model, the underlying network is replaced by an abstract system of linearly ordered sets, called "paths" satisfying a simple switching property: Whenever two paths P and Q intersect, there must be another path that is contained in the beginning of P and the end of Q. We show that a maximum abstract flow over time can be obtained by solving a weighted abstract flow problem and constructing a temporally repeated flow from its solution. In the course of the proof, we also show that the relatively modest switching property of abstract networks already captures many essential properties of classical networks.