Analysis of two Sweep-line Algorithms for Constructing Spanning Trees and Steiner Trees

dc.creatorDumitrescu,Adrian
dc.creatorTóth,Csaba
dc.date2007
dc.date.accessioned2024-02-06T12:55:57Z
dc.date.available2024-02-06T12:55:57Z
dc.descriptionWe give a tight analysis of an old and popular sweep-line heuristic for constructing a spanning tree of a set of n points in the plane. The algorithm sweeps a vertical line across the input points from left to right, and each point is connected by a straight line segment to the closest point left of (or on) the sweep-line. If W denotes the weight the Euclidean minimum spanning tree (EMST), the spanning tree constructed by the sweep-line algorithm has weight O(W log n), and this bound is asymptotically tight. We then analyze a sweep-line heuristic for constructing a Steiner tree, in which a vertical line is swept across the input points from left to right, and each point is connected by a straight line segment to the closest point on edges or vertices of the current tree (on the left of the sweep line). We show that this algorithm achieves an approximation ratio of O(log n), and describe a class of instances where this ratio is Ω(log n / log log n). Our results give almost complete answers to two old open questions from the 1970s.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-11-1615
dc.identifierhttps://lib.jucs.org/article/28885/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9527
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(11): 1615-1627
dc.subjectminimum spanning tree
dc.subjectminimum Steiner tree
dc.subjectsweep-line
dc.subjectheuristic
dc.subjectapproximation ratio
dc.titleAnalysis of two Sweep-line Algorithms for Constructing Spanning Trees and Steiner Trees
dc.typeResearch Article
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