Vertex and edge covers are crucial concepts in graph theory. Vertex covers include vertices that touch every edge, while edge covers use edges to connect all vertices. These ideas help solve real-world problems like and facility location.
Finding minimum covers is a key challenge. For vertex covers, it's NP-hard in general but solvable for some graphs. Edge covers are easier, using maximum matching algorithms. These concepts link to other graph theory ideas and have wide-ranging applications.
Vertex and Edge Covers in Graphs
Vertex and edge covers
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Facility location edge covers find optimal service placement covering all locations (pizza delivery)
Task scheduling vertex covers assign minimum resources to cover all tasks (project management)
Traffic control edge covers place traffic lights at minimum intersections (city planning)
Optimization techniques employ:
Linear programming relaxations
Branch and bound algorithms
Local search heuristics
Real-world applications include sensor placement in IoT networks camera placement for surveillance systems protein-protein interaction networks in computational biology