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楼主: ARRAY
发表于 2025-3-28 18:20:02 | 显示全部楼层
Describing distributed systems by categorical graph grammars,dge is connected to some event nodes, some of which are considered to be predecessors of the edge, whereas others are successor nodes. This induces a partial ordering of the hyperedges. Some aspects of the Ada rendezvous are used as an example and translated into hypergraph productions.
发表于 2025-3-28 19:25:11 | 显示全部楼层
A parser for context free plex grammars,Our parser is able to recognize not only complete structures generated by a plex grammar but also partial ones. The algorithm has been implemented and tested on a number of examples. The time complexity of the parser is exponential in general, but there exist subclasses of plex languages for which the parser has a polynomial time complexity.
发表于 2025-3-29 00:16:04 | 显示全部楼层
发表于 2025-3-29 04:21:39 | 显示全部楼层
发表于 2025-3-29 09:57:42 | 显示全部楼层
发表于 2025-3-29 13:49:42 | 显示全部楼层
https://doi.org/10.1007/978-3-031-43304-7dge is connected to some event nodes, some of which are considered to be predecessors of the edge, whereas others are successor nodes. This induces a partial ordering of the hyperedges. Some aspects of the Ada rendezvous are used as an example and translated into hypergraph productions.
发表于 2025-3-29 17:24:40 | 显示全部楼层
发表于 2025-3-29 21:31:01 | 显示全部楼层
发表于 2025-3-30 00:12:58 | 显示全部楼层
https://doi.org/10.1007/978-3-031-31104-8. · (|.| + |.|log|.|)), respectively, where |.| is the number of edges in the given graph, |.| is the number of vertices, and . is the number of groups. The latter algorithm propagates a set of wavefronts with different distances simultaneously through the graph; it is interesting in its own right.
发表于 2025-3-30 05:30:45 | 显示全部楼层
,Beyond Steiner’s problem: A VLSI oriented generalization,. · (|.| + |.|log|.|)), respectively, where |.| is the number of edges in the given graph, |.| is the number of vertices, and . is the number of groups. The latter algorithm propagates a set of wavefronts with different distances simultaneously through the graph; it is interesting in its own right.
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