1996
DOI: 10.1006/jagm.1996.0046
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An Incremental Algorithm for a Generalization of the Shortest-Path Problem

Abstract: The grammar problem, a generalization of the single-source shortest-path prob-Ž Ž . Ž . . lem introduced by D. E. Knuth Inform. Process. Lett. 6 1 1977 , 1᎐5 is to compute the minimum-cost derivation of a terminal string from each nonterminal of a given context-free grammar, with the cost of a derivation being suitably defined. This problem also subsumes the problem of finding optimal hyperpaths in Ž . directed hypergraphs under varying optimization criteria that has received attention recently. In this paper … Show more

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Cited by 294 publications
(189 citation statements)
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References 25 publications
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“…For MoonWalker 1.0 we took a different approach, which is based on an incremental shortest-path algorithm for single-source directed graphs with positive weights [9]. We devised and implemented the Memoised Garbage Collector (mgc) algorithm, which uses information retrieved from changes between successive states to determine which objects should be garbage collected.…”
Section: Moonwalker 10mentioning
confidence: 99%
“…For MoonWalker 1.0 we took a different approach, which is based on an incremental shortest-path algorithm for single-source directed graphs with positive weights [9]. We devised and implemented the Memoised Garbage Collector (mgc) algorithm, which uses information retrieved from changes between successive states to determine which objects should be garbage collected.…”
Section: Moonwalker 10mentioning
confidence: 99%
“…Using the dynamic SPT increment algorithm [4,5,6,7] to find out the incremental part. The incremental part includes the boundary vertices and the related edges between them.…”
Section: Dynamic Spt Increment Algorithm For Aircraft Booking Based Omentioning
confidence: 99%
“…removing a node or an arc or changing an arc's cost. This approach was introduced by Ramalingam et al [19] and then refined successively by various contributors; see [11] for a complete review. The emphasis of this approach is to update efficiently the shortest path spanning tree when a change takes place.…”
Section: Dynamic Shortest Paths and Dynamic Indicesmentioning
confidence: 99%