这是一个后续问题:。 为什么大多数图表算法不易适应负数?。
我认为,最短的道路存在消极的权重问题,因为它增加了道路上的所有权重,并试图找到最低权重。
但是,我并不认为最低限度的斯帕宁树(MST)存在负权重的问题,因为它只是只使用最低权重,而没有照顾到总权重。
这一权利是什么?
是的,你是正确的。 《婚姻关系法》的概念允许任意表示。 两种最受欢迎的计算法(Kruskal s和Prims)以负对口进行罚款。
实际上,你只能给你的图谱的所有前沿增添一个非常积极的变化,使所有优势都变得积极。 中期评估(作为edge子)将保持不变。
是的,你之所以正确,是因为如果你看到像Dijkstera这样的最短道路的算法,那么,如果目前垂直的距离大于现值+对面的权重,那么,如果对面的权重持否定态度,则会带来一些问题。
但是,在MTS问题上,一些算法,如rim子、kruskal,这些算法只算上最低的权重,使负对面的权重符合ST的要求。
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