Leetcode P0145"Binary Tree Postorder Traversal" 题解

2020/09/16 Leetcode

博文中会简要介绍Leetcode P0145题目分析及解题思路。

“Binary Tree Postorder Traversal”也是一道比较基础的题目,这道题考察的是对二叉树后序遍历,有点像p0144的对偶问题。这道题也是需要分别用迭代和递归来实现解法。

迭代的方法有两种思路,一种是会破坏树的结构,能解出来这道题但是没什么实际的应用价值,虽然可以用HashTable等容器来记忆化访问,但是终归复杂化了简单问题。

另一种是借鉴p0144的思路,考虑前序遍历的对偶问题,这样一来无需改变树结构就可以得到最终的后序遍历结果。

Given the root of a binary tree, return the postorder traversal of its nodes’ values.

Follow up: Recursive solution is trivial, could you do it iteratively?

下述解法会破坏树的结构,虽然能得到后序遍历的结果但是应用价值几乎为零。

以下是Java的题解代码实现。

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    public List<Integer> postorderTraversal(TreeNode root) {
        
        List<Integer> postorder = new ArrayList<>();
        Deque<TreeNode> stack = new LinkedList<>();
        TreeNode curr = root;
        while (curr != null || !stack.isEmpty()) {
            // Find the deepest left subtree
            while (curr != null) {
                stack.offerFirst(curr);
                curr = curr.left;
            }
            
            curr = stack.peekFirst();
            if (curr.right == null) {
                curr = stack.pollFirst();
                postorder.add(curr.val);
            }
            
            TreeNode child = curr.right;
            curr.right = null;
            curr = child;
        }
        
        return postorder;
    }
}

上述代码的不足之处在于会改变当前树的结构,虽然可以使用HashTable之类的容器来解决这种缺陷,但终归不是足够鲁棒。

而下面的代码实际上就是前序遍历的翻转或者说镜面。前序遍历是向先向左子树遍历,而这里后序遍历先向右子树遍历,唯一不同的是,由于后序遍历总是先左子树后右子树最后再访问当前结点,所以我们在插入时需要每次都在头部插入,这样就能保证,先插入的根结点其实是在最末尾的。

以下是第二种Java的题解代码实现。

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    public List<Integer> postorderTraversal(TreeNode root) {
        
        LinkedList<Integer> postorder = new LinkedList<>();
        Deque<TreeNode> stack = new LinkedList<>();
        TreeNode curr = root;
        while (curr != null || !stack.isEmpty()) {
            while (curr != null) {
                postorder.offerFirst(curr.val);
                stack.offerFirst(curr);
                curr = curr.right;
            }
            
            curr = stack.pollFirst();
            curr = curr.left;
        }
        
        return postorder;
    }
}

以下是C++的题解代码实现。

/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode() : val(0), left(nullptr), right(nullptr) {}
 *     TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
 *     TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
 * };
 */
class Solution {
public:
    vector<int> postorderTraversal(TreeNode* root) {
        this->_Dfs(root);
        return this->postorder_;
    }
    
private:
    vector<int> postorder_;
    
    void _Dfs(TreeNode *curr) {
        if (!curr)
            return;
        
        if (curr->left)
            this->_Dfs(curr->left);
        if (curr->right)
            this->_Dfs(curr->right);
        
        this->postorder_.push_back(curr->val);
    }
};

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