• Java递归方法遍历二叉树的代码


    将内容过程中经常用的内容做个记录,如下内容内容是关于Java递归方法遍历二叉树的内容。

    package com.wzs;

    public class TestBinaryTree {
    public static void main(String[] args) {
    Node<String> g = new Node<String>("G", null, null);
    Node<String> e = new Node<String>("E", null, null);
    Node<String> f = new Node<String>("F", null, null);
    Node<String> d = new Node<String>("D", null, g);
    Node<String> b = new Node<String>("B", d, e);
    Node<String> c = new Node<String>("C", null, f);
    Node<String> a = new Node<String>("A", b, c);

    System.out.println("生成的二叉树:");
    System.out.println(" A");
    System.out.println(" | ");
    System.out.println(" |---------|");
    System.out.println(" B C");
    System.out.println(" | |");
    System.out.println(" |---------| -----|");
    System.out.println(" D E F");
    System.out.println(" |");
    System.out.println(" ----|");
    System.out.println(" G");

    System.out.println("二叉树深度:" + BinaryTree.getDepth(a));

    System.out.print("前序遍历:");
    BinaryTree.priorderTraversal(a);
    System.out.println();

    System.out.print("中序遍历:");
    BinaryTree.inorderTraversal(a);
    System.out.println();

    System.out.print("后序遍历:");
    BinaryTree.postorderTraversal(a);
    System.out.println();
    }
    }

    class BinaryTree {
    static <T> void priorderTraversal(Node<T> node) {
    if (node != null) {
    visitNode(node);
    priorderTraversal(node.getLeftChild());
    priorderTraversal(node.getRightChild());
    }
    }

    static <T> void inorderTraversal(Node<T> node) {
    if (node != null) {
    inorderTraversal(node.getLeftChild());
    visitNode(node);
    inorderTraversal(node.getRightChild());
    }
    }

    static <T> void postorderTraversal(Node<T> node) {
    if (node != null) {
    postorderTraversal(node.getLeftChild());
    postorderTraversal(node.getRightChild());
    visitNode(node);
    }
    }

    static <T> int getDepth(Node<T> node) {
    if (node == null) {
    return 0;
    }
    int leftDepth = 0;
    int rightDepth = 0;
    leftDepth = getDepth(node.getLeftChild());
    rightDepth = getDepth(node.getRightChild());
    return (leftDepth > rightDepth ? leftDepth : rightDepth) + 1;
    }

    static <T> void visitNode(Node<T> node) {
    System.out.print(node.getKey() + " ");
    }
    }

    class Node<T> {
    private T key;
    private Node<T> leftChild;
    private Node<T> rightChild;

    public Node() {

    }

    public Node(T key, Node<T> leftChild, Node<T> rightChild) {
    super();
    this.key = key;
    this.leftChild = leftChild;
    this.rightChild = rightChild;
    }

    public T getKey() {
    return key;
    }

    public void setKey(T key) {
    this.key = key;
    }

    public Node<T> getLeftChild() {
    return leftChild;
    }

    public void setLeftChild(Node<T> leftChild) {
    this.leftChild = leftChild;
    }

    public Node<T> getRightChild() {
    return rightChild;
    }

    public void setRightChild(Node<T> rightChild) {
    this.rightChild = rightChild;
    }

    }





    输出结果生成的二叉树:A||---------|BC|||---------|-----|DEF|----|G二叉树深度:4前序遍历:ABDGECF中序遍历:DGBEACF后序遍历:GDEBFCA





  • 相关阅读:
    JSTL 标签库
    C++(一)— stringstream的用法
    深度学习—反向传播的理解
    深度学习—线性分类器理解
    Python—numpy.bincount()
    Python—numpy.argsort()
    Python—numpy.flatnonzero()
    C++(零)— 提高程序运行效率
    机器学习(八)—GBDT 与 XGBOOST
    机器学习(七)—Adaboost 和 梯度提升树GBDT
  • 原文地址:https://www.cnblogs.com/51jiaoshou/p/10354793.html
Copyright © 2020-2023  润新知