JAVA二叉树的基本操作
作者:JackHui007
这篇文章主要介绍了JAVA二叉树的基本操作DEMO,想要详情了解的小伙伴请接着看下文吧
记录二叉树的基本操作DEMO
1、创建一个二叉树类
这里约束了泛型只能为实现了Comparable这个接口的类型。
/** * @author JackHui * @version BinaryTree.java, 2020年03月05日 12:45 */ public class BinaryTree<T extends Comparable> { //树根 BinaryTreeNode root; public boolean deleteData(T data) { if (root.data.equals(data)) { root = null; return true; } return root.deleteNode(data); } public T frontSearch(T data) { return (T) root.frontSearch(data); } public T midSearch(T data) { return (T) root.midSearch(data); } public T rearSearch(T data) { return (T) root.rearSearch(data); } public void frontEach() { this.root.frontEach(); } public void midEach() { this.root.midEach(); } public void rearEach() { this.root.rearEach(); } public BinaryTreeNode getRoot() { return root; } public void setRoot(BinaryTreeNode root) { this.root = root; } }
2、然后创建二叉树的节点
package binarytree; /** * @author JackHui * @version BinaryTreeNode.java, 2020年03月06日 10:24 */ public class BinaryTreeNode<T extends Comparable> { T data; BinaryTreeNode lChild; BinaryTreeNode rChild; public BinaryTreeNode(T data) { this.data = data; } //先序遍历 public void frontEach() { System.out.print(this.data + "\t"); if (lChild != null) { lChild.frontEach(); } if (rChild != null) { rChild.frontEach(); } } //中序遍历 public void midEach() { if (lChild != null) { lChild.frontEach(); } System.out.print(this.data + "\t"); if (rChild != null) { rChild.frontEach(); } } //后序遍历 public void rearEach() { if (lChild != null) { lChild.frontEach(); } if (rChild != null) { rChild.frontEach(); } System.out.print(this.data + "\t"); } //先序查找 public T frontSearch(T data) { T target = null; System.out.println("[先序遍历]当前遍历到的元素:" + this.data + "\t查找的元素:" + data + "\t" + (this.data.compareTo(data) == 0 ? "查找到元素:" + data : "")); if (this.data.compareTo(data) == 0) { return data; } else { if (lChild != null && (target = (T) lChild.frontSearch(data)) != null) { return target; } if (rChild != null && (target = (T) rChild.frontSearch(data)) != null) { return target; } } return target; } //中序查找 public T midSearch(T data) { T target = null; if (lChild != null && (target = (T) lChild.midSearch(data)) != null) { return target; } System.out.println("[中序遍历]当前遍历到的元素:" + this.data + "\t查找的元素:" + data + "\t" + (this.data.compareTo(data) == 0 ? "查找到元素:" + data : "")); if (this.data.compareTo(data) == 0) { return data; } else { if (rChild != null && (target = (T) rChild.midSearch(data)) != null) { return target; } } return target; } //后序查找 public T rearSearch(T data) { T target = null; if (lChild != null && (target = (T) lChild.rearSearch(data)) != null) { return target; } if (rChild != null && (target = (T) rChild.rearSearch(data)) != null) { return target; } System.out.println("[后续遍历]当前遍历到的元素:" + this.data + "\t查找的元素:" + data + "\t" + (this.data.compareTo(data) == 0 ? "查找到元素:" + data : "")); if (this.data.compareTo(data) == 0) { return data; } return target; } //根据值删除节点 public boolean deleteNode(T data) { System.out.println("[节点删除]当前遍历到的父节点:" + this.data + "\t" + "匹配的节点数据:" + data); //判断左子树是否匹配 if (this.lChild != null && (this.lChild.data.compareTo(data) == 0)) { System.out.println("[节点删除]当前遍历到的父节点:" + this.data + "\t" + "匹配的节点数据:" + data + "\t节点删除成功!"); this.lChild = null; return true; } else if (this.rChild != null && (this.rChild.data.compareTo(data) == 0)) { System.out.println("[节点删除]当前遍历到的父节点:" + this.data + "\t" + "匹配的节点数据:" + data + "\t节点删除成功!"); this.rChild = null; return true; } if (this.lChild != null && this.lChild.deleteNode(data)) { return true; } if (this.rChild != null && this.rChild.deleteNode(data)) { return true; } return false; } public T getData() { return data; } public void setData(T data) { this.data = data; } public BinaryTreeNode getlChild() { return lChild; } public void setlChild(BinaryTreeNode lChild) { this.lChild = lChild; } public BinaryTreeNode getrChild() { return rChild; } public void setrChild(BinaryTreeNode rChild) { this.rChild = rChild; } }
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