前序查找:
这里我子介绍前序查找的思路,中序和后序查找的思路和前序查找的思路差不多
/**
* 模拟结点
*/
public class Node {
private int id;
private String name;
/*左节点*/
private Node left;
/*右节点*/
private Node right;
/*分别用来计算前中后序查找进行了多少次*/
public static int preCount = 0;
public static int midCount = 0;
public static int postCount = 0;
/*构造方法*/
public Node(int id, String name) {
this.id = id;
this.name = name;
}
/**
* 根据ID前序查找
* @param id ID
* @return 如果找到就返回Node 没有找到就返回null
*/
public Node preQuery(int id){
preCount++;
/*比较当前结点是不是要查找的结点*/
if (this.id == id) {
return this;
}
Node resNode = null;
if (this.left != null) {
/*如果左子结点*不为空,就递归前序查找左子树*/
resNode = this.left.preQuery(id);
}
if (resNode != null) {
/*在左子树中找到目标结点*/
return resNode;
}
if (this.right != null) {
/*如果右子结点*不为空,就递归前序查找右子树*/
resNode = this.right.preQuery(id);
}
return resNode;
}
/**
* 根据ID中序查找
* @param id ID
* @return 如果找到就返回Node 没有找到就返回null
*/
public Node midQuery(int id){
Node resNode = null;
if (this.left != null) {
resNode = this.left.midQuery(id);
}
if (resNode != null) {
/*在左子树中找到目标结点*/
return resNode;
}
/*比较当前结点是不是要查找的结点*/
midCount++;
if (this.id == id) {
return this;
}
if (this.right != null) {
resNode = this.right.midQuery(id);
}
return resNode;
}
/**
* 根据ID后序查找
* @param id ID
* @return 如果找到就返回Node 没有找到就返回null
*/
public Node postQuery(int id){
Node resNode = null;
if (this.left != null) {
resNode = this.left.postQuery(id);
}
if (resNode != null) {
/*在左子树中找到目标结点*/
return resNode;
}
if (this.right != null) {
resNode = this.right.postQuery(id);
}
if (resNode != null) {
/*在右子树中找到目标结点*/
return resNode;
}
postCount++;
if (this.id == id) {
return this;
}
return resNode;
}
setter and getter 方法
@Override
public String toString() {
return "[" + "id=" + id + ", name=" + name + ']';
}
}
/**
* 模拟二叉树
*/
public class BinaryTree {
/*根结点*/
private Node root;
public void setRoot(Node root) {
this.root = root;
}
/*前序查找*/
public Node preSearch(int id){
if (this.root != null) {
return this.root.preQuery(id);
}else {
return null;
}
}
/*中序查找*/
public Node midSearch(int id){
if (this.root != null) {
return this.root.midQuery(id);
}else {
return null;
}
}
/*后序查找*/
public Node postSearch(int id){
if (this.root != null) {
return this.root.postQuery(id);
}else {
return null;
}
}
}
/**
* 测试类
*/
public class BinaryTreeTest {
public static void main(String[] args) {
/*手动创建结点*/
Node node1 = new Node(1,"张三");
Node node2 = new Node(2,"李四");
Node node3 = new Node(3,"王五");
Node node4 = new Node(4,"赵六");
node1.setLeft(node2);
node1.setRight(node3);
node3.setRight(node4);
/*创建二叉树*/
BinaryTree tree = new BinaryTree();
tree.setRoot(node1);
System.out.print("前序查找:");
Node resNode1 = tree.preSearch(1);
System.out.print(resNode1==null ? "未找到目标" : resNode1);
System.out.println(" 前序查找一种查找了"+Node.preCount+"次");//1
System.out.print("中序查找:");
Node resNode2 = tree.midSearch(1);
System.out.print(resNode2==null ? "未找到目标" : resNode2);
System.out.println(" 中序查找一种查找了"+Node.midCount+"次");//2
System.out.print("后序查找:");
Node resNode3 = tree.postSearch(1);
System.out.print(resNode3==null ? "未找到目标" : resNode3);
System.out.println(" 后序查找一种查找了"+Node.postCount+"次");//4
}
}
前序查找:[id=1, name=张三] 前序查找一种查找了1次
中序查找:[id=1, name=张三] 中序查找一种查找了2次
后序查找:[id=1, name=张三] 后序查找一种查找了4次
Process finished with exit code 0
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原文链接 : https://blog.csdn.net/m0_60117382/article/details/122783835
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