文件名称:ns2
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- 2012-11-26
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Many interesting route planning problems can be solved by computing shortest paths
in a suitably modeled, weighted graph representing a transportation network. Such networks
are naturally road networks or timetable networks of public transportation. For
large networks, the classical Dijkstra algorithm to compute shortest paths is too slow.
And therefore have faster algorithms been developed in recent years. These new algorithms
have in common that they use precomputation and store auxiliary data to speedup
subsequent shortest-path queries.
in a suitably modeled, weighted graph representing a transportation network. Such networks
are naturally road networks or timetable networks of public transportation. For
large networks, the classical Dijkstra algorithm to compute shortest paths is too slow.
And therefore have faster algorithms been developed in recent years. These new algorithms
have in common that they use precomputation and store auxiliary data to speedup
subsequent shortest-path queries.
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ns2tutorial.pdf