python Dijkstra算法 + 斐波那契堆

最新推荐文章于 2025-06-18 20:09:51 发布

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最新推荐文章于 2025-06-18 20:09:51 发布 · 1.5k 阅读

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#Dijkstra算法 #斐波那契堆

本文详细介绍了如何使用Python实现Dijkstra最短路径算法，并结合斐波那契堆进行效率优化。内容包括Dijkstra算法的基本原理、Python代码实现以及斐波那契堆在算法中的应用，帮助读者深入理解这两种数据结构及其在图论问题中的应用。

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def networkDelayTime(self, edges, N, S, D = None):
    # for (d, t) in edges[s], it means that there is a one-way path from s to d with cost t
    # N is the number of all vertexes, S is the source vertex, D if present is the target destination vertex
    
    FAIZ = (1 + math.sqrt(5)) / 2
    nodes = [None] * N
    
    class node(object):
        def __init__(self, i, value):
            self.i = i
            self.val = value
            self.degree = 0
            self.left = self
            self.right = self
            self.parent = None
            self.child = None
            self.marked = False
            nodes[i] = self
    
    def addNode(nd, dbn): #dbn for 'a node in the double-linked list'
        nd.left = dbn.left
        dbn.left.right = nd
        nd.right = dbn
        dbn.left = nd
    
    def heapPush(nd):
        addNode(nd, self.minNode)
    
    def removeNode(nd):
        nd.left.right = nd.right
        nd.right.left = nd.left