Serialize and Deserialize Binary Tree

本文介绍了一种将二叉树转换为字符串序列(序列化)及从字符串序列重建二叉树(反序列化)的方法。利用队列进行层序遍历实现序列化,并通过队列重构二叉树;同时,还提供了基于深度优先搜索(DFS)的序列化与反序列化算法。
Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory buffer, or transmitted across a network connection link to be reconstructed later in the same or another computer environment.

Design an algorithm to serialize and deserialize a binary tree. There is no restriction on how your serialization/deserialization algorithm should work. You just need to ensure that a binary tree can be serialized to a string and this string can be deserialized to the original tree structure.

For example, you may serialize the following tree
1
/ \
2 3
/ \
4 5
as "[1,2,3,null,null,4,5]", just the same as how LeetCode OJ serializes a binary tree. You do not necessarily need to follow this format, so please be creative and come up with different approaches yourself.
Note: Do not use class member/global/static variables to store states. Your serialize and deserialize algorithms should be stateless.

序列化一个二叉树,然后再根据二叉树的序列得到二叉树。我们可以用层序遍历(队列)得到一棵树的序列化,空的节点用n表示,然后在根据序列化生成二叉树,同样借助队列。代码如下:

/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Codec {

// Encodes a tree to a single string.
public String serialize(TreeNode root) {
if(root == null) return "";
Queue<TreeNode> queue = new LinkedList<TreeNode>();
StringBuilder sb = new StringBuilder();
queue.offer(root);
while(!queue.isEmpty()) {
TreeNode node = queue.poll();
if(node == null) {
sb.append("n ");
} else {
sb.append(node.val + " ");
queue.offer(node.left);
queue.offer(node.right);
}
}
return sb.toString();
}

// Decodes your encoded data to tree.
public TreeNode deserialize(String data) {
if(data == "") return null;
String[] string = data.split("\\s");
Queue<TreeNode> queue = new LinkedList<TreeNode>();
TreeNode root = new TreeNode(Integer.parseInt(string[0]));
queue.offer(root);
for(int i = 1; i < string.length; i++) {
TreeNode parent = queue.poll();
if(!string[i].equals("n")) {
parent.left = new TreeNode(Integer.parseInt(string[i]));
queue.offer(parent.left);
}
if(++i < string.length && !string[i].equals("n")) {
parent.right = new TreeNode(Integer.parseInt(string[i]));
queue.offer(parent.right);
}
}
return root;
}
}

// Your Codec object will be instantiated and called as such:
// Codec codec = new Codec();
// codec.deserialize(codec.serialize(root));

我们还可以通过DFS得到一个序列,然后在生成二叉树。代码如下:

/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Codec {

// Encodes a tree to a single string.
public String serialize(TreeNode root) {
if(root == null) return "";
Stack<TreeNode> stack = new Stack<TreeNode>();
StringBuilder sb = new StringBuilder();
stack.push(root);
while(!stack.isEmpty()) {
TreeNode parent = stack.pop();
if(parent == null) {
sb.append("n ");
} else {
sb.append(parent.val + " ");
stack.push(parent.right);
stack.push(parent.left);
}
}
System.out.println(sb.toString());
return sb.toString();
}

// Decodes your encoded data to tree.
public TreeNode deserialize(String data) {
if(data == "") return null;
String[] string = data.split("\\s");
int[] i = new int[1];
return getNode(string, i);
}
// 1 2 n n 3 n n
private TreeNode getNode(String[] string, int[] i) {
if(i[0] >= string.length || string[i[0]].equals("n")) return null;
TreeNode root = new TreeNode(Integer.parseInt(string[i[0]]));
i[0]++;
root.left = getNode(string, i);
i[0]++;
root.right = getNode(string, i);
return root;
}
}

// Your Codec object will be instantiated and called as such:
// Codec codec = new Codec();
// codec.deserialize(codec.serialize(root));
### 力扣热门100题列表 力扣(LeetCode)上的热门题目通常是指那些被广泛讨论、高频面试或者具有较高难度的题目。这些题目涵盖了数据结构和算法的核心知识点,适合用来提升编程能力和解决实际问题的能力。 以下是基于社区反馈整理的部分 **LeetCode Hot 100 Problems List**: #### 数组与字符串 1. Two Sum (两数之和)[^1] 2. Longest Substring Without Repeating Characters (无重复字符的最长子串)[^2] 3. Median of Two Sorted Arrays (两个有序数组的中位数)[^1] 4. Container With Most Water (盛最多水的容器)[^2] #### 链表 5. Reverse Linked List (反转链表) 6. Merge Two Sorted Lists (合并两个有序链表) 7. Remove Nth Node From End of List (删除倒数第N个节点) 8. Linked List Cycle II (环形链表II) #### 堆栈与队列 9. Valid Parentheses (有效的括号) 10. Min Stack (最小栈) 11. Sliding Window Maximum (滑动窗口最大值)[^2] #### 树与二叉树 12. Binary Tree Inorder Traversal (二叉树的中序遍历) 13. Validate Binary Search Tree (验证二叉搜索树) 14. Same Tree (相同的树) 15. Serialize and Deserialize Binary Tree (序列化与反序列化二叉树) #### 图论 16. Number of Islands (岛屿数量) 17. Course Schedule (课程表) 18. Clone Graph (克隆图) #### 排序与搜索 19. Find First and Last Position of Element in Sorted Array (在排序数组中查找元素的第一个和最后一个位置) 20. Search a 2D Matrix (二维矩阵搜索) 21. K Closest Points to Origin (最接近原点的K个点) #### 动态规划 22. Climbing Stairs (爬楼梯) 23. House Robber (打家劫舍)[^1] 24. Coin Change (零钱兑换) 25. Unique Paths (不同路径) #### 贪心算法 26. Jump Game (跳跃游戏)[^1] 27. Non-overlapping Intervals (无重叠区间) 28. Best Time to Buy and Sell Stock (买卖股票的最佳时机)[^1] #### 字符串匹配与处理 29. Implement strStr() (实现strStr()) 30. Longest Consecutive Sequence (最长连续序列) 31. Group Anagrams (分组异位词) --- ### 示例代码片段 以下是一个关于动态规划的经典例子——`Climbing Stairs` 的 Python 实现: ```python class Solution: def climbStairs(self, n: int) -> int: if n == 1 or n == 2: return n dp = [0] * (n + 1) dp[1], dp[2] = 1, 2 for i in range(3, n + 1): dp[i] = dp[i - 1] + dp[i - 2] return dp[n] ``` 上述代码通过动态规划的方式解决了 `Climbing Stairs` 问题,时间复杂度为 \(O(n)\),空间复杂度同样为 \(O(n)\)[^1]。 --- ###
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