1991
DOI: 10.1051/ro/1991250404031
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A dual feasible forest algorithm for the linear assignment problem

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Cited by 7 publications
(10 citation statements)
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References 10 publications
(16 reference statements)
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“…It is easy to show that the identical permutation is an optimal solution of an LSAP with a cost matrix which fulfills (8). This remains true, even if condition (8) is relaxed to the so-called weak Monge property (cf.…”
Section: Linear Sum Assignment Problems (Lsaps)mentioning
confidence: 99%
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“…It is easy to show that the identical permutation is an optimal solution of an LSAP with a cost matrix which fulfills (8). This remains true, even if condition (8) is relaxed to the so-called weak Monge property (cf.…”
Section: Linear Sum Assignment Problems (Lsaps)mentioning
confidence: 99%
“…Two other signature-guided algorithms were given by Paparrizos [135] and Akgül and Ekin [8]. Paparrizos' algorithm is similar to Balinski's competitive simplex algorithm [19].…”
Section: Definition 34mentioning
confidence: 99%
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“…for some Xc N; where E is determined so that for some edge e E 8+(X) U 8-(X) we have We = 0 with respect to new dual variables, i.e. E is the amount of dual (in)feasibility of the edge e; E = ±We• Thus, dual variable (potential) change defined by (9) will cause the following changes in reduced costs:…”
Section: G[s] = (S (S))mentioning
confidence: 99%
“…Solution procedures vary from primal-dual/successive shortest paths [19,58,59,81,43,41,26,56] (see [35] for a survey), cost parametric [76], recursive [79], relaxation [39,52], signature based [15,16,48,9,66,67,68] to primal methods [17,31,6] to name just a few.…”
Section: Introductionmentioning
confidence: 99%