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https://github.com/krahets/hello-algo.git
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62 lines
1.6 KiB
Kotlin
62 lines
1.6 KiB
Kotlin
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/**
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* File: graph_dfs.kt
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* Created Time: 2024-01-25
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* Author: curtishd (1023632660@qq.com)
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*/
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package chapter_graph
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import utils.Vertex
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/* 深度优先遍历辅助函数 */
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fun dfs(
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graph: GraphAdjList,
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visited: MutableSet<Vertex?>,
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res: MutableList<Vertex?>,
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vet: Vertex?
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) {
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res.add(vet) // 记录访问顶点
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visited.add(vet) // 标记该顶点已被访问
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// 遍历该顶点的所有邻接顶点
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for (adjVet in graph.adjList[vet]!!) {
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if (visited.contains(adjVet)) continue // 跳过已被访问的顶点
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// 递归访问邻接顶点
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dfs(graph, visited, res, adjVet)
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}
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}
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/* 深度优先遍历 */
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// 使用邻接表来表示图，以便获取指定顶点的所有邻接顶点
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fun graphDFS(
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graph: GraphAdjList,
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startVet: Vertex?
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): List<Vertex?> {
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// 顶点遍历序列
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val res: MutableList<Vertex?> = ArrayList()
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// 哈希表，用于记录已被访问过的顶点
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val visited: MutableSet<Vertex?> = HashSet()
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dfs(graph, visited, res, startVet)
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return res
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}
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/* Driver Code */
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fun main() {
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/* 初始化无向图 */
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val v = Vertex.valsToVets(intArrayOf(0, 1, 2, 3, 4, 5, 6))
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val edges = arrayOf(
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arrayOf(v[0], v[1]),
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arrayOf(v[0], v[3]),
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arrayOf(v[1], v[2]),
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arrayOf(v[2], v[5]),
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arrayOf(v[4], v[5]),
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arrayOf(v[5], v[6])
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)
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val graph = GraphAdjList(edges)
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println("\n初始化后，图为")
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graph.print()
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/* 深度优先遍历 */
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val res = graphDFS(graph, v[0])
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println("\n深度优先遍历（DFS）顶点序列为")
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println(Vertex.vetsToVals(res))
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}
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