Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5180
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dc.creatorKarp, Richard M.-
dc.creatorOrlin, James B., 1953--
dc.date2004-05-28T19:26:46Z-
dc.date2004-05-28T19:26:46Z-
dc.date1980-10-
dc.date.accessioned2013-10-09T02:38:09Z-
dc.date.available2013-10-09T02:38:09Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/5180-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionLet G = (V,E) be a digraph with n vertices including a special vertex s. Let E' C E be a designated subset of edges. For each e E E there is an associated real number fl(e). Furthermore, let 1 if e E E' f2(e): 0 if e E-E' The length of edge e is flpe)-Af2(e), where X is a parameter that takes on real values. Thus the length varies additively in X for each edge of E'. We shall present two algorithms for computing the shortest path from s to each vertex v E V parametrically in the parameter X, with respective running times O(n3 ) and O(nlE llogn). For dense digraphs the running time of the former algorithm is comparable to the fastest (non-parametric) shortest path algorithm known. This work generalizes the results of Karp [2] concerning the minimum cycle mean of a digraph, which reduces to the case that E' = E. Furthermore, the second parametric algorithm may be used in conjunction with a transformation given by Bartholdi, Orlin, and Ratliff [1] to give an O(n21logn) algorithm for the cyclic staffing problem.-
dc.format880470 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper;OR 103-80-
dc.titleParameter Shortest Path Algorithms with an Application to Cyclic Staffing-
dc.typeWorking Paper-
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