Years and Authors of Summarized Original Work
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2013; Bernstein
Problem Definition
A dynamic graph algorithm maintains information about a graph that is changing over time. Given a property \(\mathcal{P}\) of the graph (e.g., minimum spanning tree), the algorithm must support an online sequence of query and update operations, where an update operation changes the underlying graph, while a query operation asks for the state of \(\mathcal{P}\) in the current graph. In the typical model studied, each update only affects a single edge. In a fully dynamic setting, an update can insert or delete an edge or change the weight of an existing edge; in a decremental setting an update can only delete an edge or increase a weight; in an incremental setting an update can insert an edge or decrease a weight.
This entry addresses the decremental (1 +ε)-approximate all-pairs shortest path problem (APSP) in weighted directed graphs. The goal is to maintain a directed graph Gwith real-valued nonnegative...
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Baswana S, Hariharan R, Sen S (2007) Improved decremental algorithms for maintaining transitive closure and all-pairs shortest paths. J Algorithms 62(2):74–92
Bernstein A (2009) Fully dynamic approximate all-pairs shortest paths with constant query and close to linear update time. In: Proceedings of the 50th FOCS, Atlanta, pp 50–60
Bernstein A (2013) Maintaining shortest paths under deletions in weighted directed graphs: [extended abstract]. In: STOC, Palo Alto, pp 725–734
Bernstein A, Roditty L (2011) Improved dynamic algorithms for maintaining approximate shortest paths under deletions. In: Proceedings of the 22nd SODA, San Francisco, pp 1355–1365
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Bernstein, A. (2016). Decremental Approximate-APSP in Directed Graphs. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_564
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