We propose fully dynamic algorithms for maintaining the distances and the shortest paths from a single source in either a directed or an undirected graph with positive real edge weights, handling insertions, deletions, and weight updates of edges. The algorithms require linear space and optimal quer
Shortest path algorithms using dynamic breadth-first search
β Scribed by Donald Goldfarb; Jianxiu Hao; Sheng-Roan Kai
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 1022 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0028-3045
No coin nor oath required. For personal study only.
β¦ Synopsis
A new O(nm) label-correcting algorithm is presented for finding shortest paths from a given node to all other nodes in a network of n nodes and m arcs or finding a directed cycle of negative length. In this algorithm, a node is scanned on the k-th scanning step only if its "label depth"-i.e., the length of the path corresponding to the distance label -equals k. Variants of this algorithm are discussed. and computational results show that several of these are very efficient. A new criterion for detecting a negative cycle that is also based on the label depth of a node is given. and Computational tests show that it is extremely effective.
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## Abstract The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in branchβandβprice algorithms for vehicleβrouting problems with additional constraints. We address the optimization of the RCESPP and we present and compare three methods. The first method