Java数据结构第十六期：走进二叉树的奇妙世界(五)

专栏：Java数据结构秘籍

个人主页：手握风云

目录

一、非递归实现遍历二叉树

[1.1. 二叉树的前序遍历](#1.1. 二叉树的前序遍历)

[1.2. 二叉树的中序遍历](#1.2. 二叉树的中序遍历)

[1.3. 二叉树的后序遍历](#1.3. 二叉树的后序遍历)

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一、非递归实现遍历二叉树

1.1. 二叉树的前序遍历

我们这里要使用栈来进行实现。我们反向思考一下为什么不使用队列？如下图，前序遍历肯定是先将根结点放进去，如果是队列，根结点先进先出，然后怎么去遍历右子树呢，就无法打印的顺序了。

我们定义一个引用cur，只要cur不为null，就打印值并将该元素放入栈中。当遍历到4时，左子树为空，返回结点4并弹出，再去遍历4的右结点，然后返回结点2并弹出，让cur等于结点2的右子树并遍历。只要1的左子树没有遍历完，1就不弹出。

public class Solution {
    public void preorderTraversal(TreeNode root){
        if(root == null){
            return;
        }
        Stack<TreeNode> stack = new Stack<>();
        TreeNode cur = root;
        while(cur != null){
            stack.push(cur);
            System.out.print(cur.val+" ");
            cur = cur.left;
        }
    }
}

代码写到这里就会出现问题，原因是：当遍历到结点4的时候，4的左子树为空，就无法进入while循环。然后把4弹出去，让cur=top，问题又来了，如果结点4左边要是不为空，又得放入栈中，也需要走while循环。

我们会发现当cur走到某个结点时，如果为空，但栈不为空，此时就可以巧妙地在while外面再加一层while循环。

while (cur != null || !stack.isEmpty()) {
    while (cur != null) {
        stack.push(cur);
        System.out.print(cur.val + " ");
        cur = cur.left;
    }
    cur = stack.pop();
    cur = cur.right;
}

完整代码实现：

import java.util.ArrayList;
import java.util.List;
import java.util.Stack;

class TreeNode{
    int val;
    TreeNode left;
    TreeNode right;

    public TreeNode() {}

    public TreeNode(int val) {
        this.val = val;
    }

    public TreeNode(int val, TreeNode left, TreeNode right) {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

public class Solution {
    public List<Integer> preorderTraversal(TreeNode root){
        List<Integer> tree = new ArrayList<>();

        if(root == null){
            return tree;
        }

        Stack<TreeNode> stack = new Stack<>();
        TreeNode cur = root;
        while (cur != null || !stack.isEmpty()) {
            while (cur != null) {
                tree.add(cur.val);
                stack.push(cur);
                cur = cur.left;
            }
            cur = stack.pop();
            cur = cur.right;
        }
        return tree;
    }
}

import java.util.ArrayList;
import java.util.List;

public class Test {
    public static void main(String[] args) {
        List<Integer> result = new ArrayList<>();
        Solution solution = new Solution();

        TreeNode root = new TreeNode(1,new TreeNode(2),new TreeNode(3));
        root.left.left = new TreeNode(4);
        root.left.right = new TreeNode(5);
        root.left.right.left = new TreeNode(6);
        root.left.right.right = new TreeNode(7);
        root.right.right = new TreeNode(8);
        root.right.right.left = new TreeNode(9);

        result = solution.preorderTraversal(root);
        System.out.println(result);
    }
}

1.2. 二叉树的中序遍历

与前序遍历的思路相同，只是打印的时机不一样。中序遍历要在弹出的元素之后直接打印。

完整代码实现：

import java.util.ArrayList;
import java.util.List;
import java.util.Stack;

class TreeNode{
    int val;
    TreeNode left;
    TreeNode right;

    public TreeNode() {}

    public TreeNode(int val) {
        this.val = val;
    }

    public TreeNode(int val, TreeNode left, TreeNode right) {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

public class Solution {
    public List<Integer> inorderTraversal(TreeNode root){
        List<Integer> tree = new ArrayList<>();

        if(root == null){
            return tree;
        }

        Stack<TreeNode> stack = new Stack<>();
        TreeNode cur = root;
        while (cur != null || !stack.isEmpty()) {
            while (cur != null) {
                tree.add(cur.val);
                stack.push(cur);
                cur = cur.left;
            }
            cur = stack.pop();
            tree.add(cur.val);
            cur = cur.right;
        }
        return tree;
    }
}

import java.util.ArrayList;
import java.util.List;

public class Test {
    public static void main(String[] args) {
        List<Integer> result = new ArrayList<>();
        Solution solution = new Solution();

        TreeNode root = new TreeNode(1,new TreeNode(2),new TreeNode(3));
        root.left.left = new TreeNode(4);
        root.left.right = new TreeNode(5);
        root.left.right.left = new TreeNode(6);
        root.left.right.right = new TreeNode(7);
        root.right.right = new TreeNode(8);
        root.right.right.left = new TreeNode(9);

        result = solution.inorderTraversal(root);
        System.out.println(result);
    }
}

1.3. 二叉树的后序遍历

后序遍历不能按照我们上面前序与中序的方法来做。如果结点下面还有孩子结点，如果把4弹出之后，就无法获取它的右侧，所以只能获取不能弹出。当右子树为空，才能弹出，再进行打印。

public class Solution {
    public void postorderTraversal(TreeNode root){
        if(root == null){
            return;
        }

        Stack<TreeNode> stack = new Stack<>();
        TreeNode cur = root;
        TreeNode top = null;
        while(cur != null || !stack.isEmpty()) {
            while(cur != null){
                stack.push(cur);
                cur = cur.left;
            }
            top = stack.peek();
            if(top.right == null){
                stack.pop();
                System.out.print(top.val+" ");
            }else{
                cur = top.right;
            }
        }
    }
}

public class Test {
    public static void main(String[] args) {
        Solution solution = new Solution();

        TreeNode root = new TreeNode(1,new TreeNode(2),new TreeNode(3));
        root.left.left = new TreeNode(4);
        root.left.right = new TreeNode(5);
        root.left.right.right = new TreeNode(7);
        root.right.right = new TreeNode(8);
        root.right.right.left = new TreeNode(9);

        solution.postorderTraversal(root);
    }
}

但这样写，会存在问题：当遍历到结点5的右结点7时，会陷入死循环。那我们怎么知道这个结点被打印过？我们再定义引用prev，让prev来记录被弹出的结点。

        while(cur != null || !stack.isEmpty()) {
            while(cur != null){
                stack.push(cur);
                cur = cur.left;
            }
            top = stack.peek();
            if(top.right == null || top.right == prev){
                stack.pop();
                System.out.print(top.val+" ");
                prev = top;
            }else{
                cur = top.right;
            }

完整代码实现：

import java.util.ArrayList;
import java.util.List;
import java.util.Stack;

class TreeNode{
    int val;
    TreeNode left;
    TreeNode right;

    public TreeNode() {}

    public TreeNode(int val) {
        this.val = val;
    }

    public TreeNode(int val, TreeNode left, TreeNode right) {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

public class Solution {
    public List<Integer> postorderTraversal(TreeNode root){
        List<Integer> tree = new ArrayList<>();

        if(root == null){
            return tree;
        }

        Stack<TreeNode> stack = new Stack<>();
        TreeNode cur = root;
        TreeNode top = null;
        TreeNode prev = null;
        while(cur != null || !stack.isEmpty()) {
            while(cur != null){
                stack.push(cur);
                cur = cur.left;
            }
            top = stack.peek();
            if(top.right == null || top.right == prev){
                tree.add(top.val);
                stack.pop();
                prev = top;
            }else{
                cur = top.right;
            }
        }
        return tree;
    }
}

import java.util.ArrayList;
import java.util.List;

public class Test {
    public static void main(String[] args) {
        List<Integer> tree = new ArrayList<>();
        Solution solution = new Solution();

        TreeNode root = new TreeNode(1,new TreeNode(2),new TreeNode(3));
        root.left.left = new TreeNode(4);
        root.left.right = new TreeNode(5);
        root.left.right.left = new TreeNode(6);
        root.left.right.right = new TreeNode(7);
        root.right.right = new TreeNode(8);
        root.right.right.left = new TreeNode(9);

        tree = solution.postorderTraversal(root);
        System.out.println(tree);
    }
}