Simplifying Activity-on-Edge Graphs
February 05, 2020 Β· Declared Dead Β· π Scandinavian Workshop on Algorithm Theory
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Authors
David Eppstein, Daniel Frishberg, Elham Havvaei
arXiv ID
2002.01610
Category
cs.DS: Data Structures & Algorithms
Citations
0
Venue
Scandinavian Workshop on Algorithm Theory
Last Checked
5 months ago
Abstract
We formalize the simplification of activity-on-edge graphs used for visualizing project schedules, where the vertices of the graphs represent project milestones, and the edges represent either tasks of the project or timing constraints between milestones. In this framework, a timeline of the project can be constructed as a leveled drawing of the graph, where the levels of the vertices represent the time at which each milestone is scheduled to happen. We focus on the following problem: given an activity-on-edge graph representing a project, find an equivalent activity-on-edge graph (one with the same critical paths) that has the minimum possible number of milestone vertices among all equivalent activity-on-edge graphs. We provide a polynomial-time algorithm for solving this graph minimization problem.
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