LeetCode 刷题【103. 二叉树的锯齿形层序遍历、104. 二叉树的最大深度、105. 从前序与中序遍历序列构造二叉树】

103. 二叉树的锯齿形层序遍历

自己做

解:先序遍历

java 复制代码
/**
 * 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 {
    List<List<Integer>> res = new ArrayList();
    public void preTravelTree(TreeNode root, int level){
        if(root == null)
            return;
        
        if(res.size() == level){                //添加列表【新的一层】
            List<Integer> new_level = new ArrayList();
            new_level.add(root.val);
            res.add(new_level);
        }
        else{                                   //已有列表
            List<Integer> old_level = res.get(level);
            if(level % 2 == 1){                 //奇数层,头插
                old_level.addFirst(root.val);
            }
            else{                               //偶数层,尾插
                old_level.addLast(root.val);
            }
        }

        preTravelTree(root.left, level + 1);
        preTravelTree(root.right, level + 1);
    }


    public List<List<Integer>> zigzagLevelOrder(TreeNode root) {
        preTravelTree(root, 0);
        return res;
    }
}

104. 二叉树的最大深度

自己做

解:先序遍历

java 复制代码
/**
 * 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 {
    private int min_level = 0;

    public void preTravelTree(TreeNode root, int level){
        if(root == null)
            return;

        if(level > min_level)
            min_level = level;

        preTravelTree(root.left, level + 1);
        preTravelTree(root.right, level + 1);
    }

    public int maxDepth(TreeNode root) {
        preTravelTree(root, 1);
        return min_level;
    }
}

105. 从前序与中序遍历序列构造二叉树

自己做

解1:划分回溯

java 复制代码
/**
 * 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 {
    private int i = 0;

    public TreeNode inorderTravel(int[] preorder, int[] inorder, int begin, int end){
        if(begin > end)                                                         //到底了
            return null;

        TreeNode root = new TreeNode(preorder[i++]);                            //当前结点
        
        int mid = begin;                                                        //记录划分位置
        for(int j = begin; j <= end && preorder[i - 1] != inorder[mid]; j++)    //找划分位置
            mid++;

        TreeNode left = inorderTravel(preorder, inorder, begin, mid - 1);      //左子树
        TreeNode right = inorderTravel(preorder, inorder, mid + 1, end);       //右子树
        root.left = left;
        root.right =right;

        return root;
    }

    public TreeNode buildTree(int[] preorder, int[] inorder) {
        return inorderTravel(preorder, inorder, 0, preorder.length - 1);
    }
}

解2:哈希集合版

java 复制代码
/**
 * 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 {
    private int i = 0;
    Map<Integer, Integer> m = new HashMap();                                     //构建键值对集合

    public TreeNode inorderTravel(int[] preorder, int[] inorder, int begin, int end){
        if(begin > end)                                                         //到底了
            return null;

        int mid = m.get(preorder[i]);                                           //获得分割点
        TreeNode root = new TreeNode(preorder[i++]);                            //当前结点
        TreeNode left = inorderTravel(preorder, inorder, begin, mid - 1);       //左子树
        TreeNode right = inorderTravel(preorder, inorder, mid + 1, end);        //右子树
        root.left = left;
        root.right =right;

        return root;
    }

    public TreeNode buildTree(int[] preorder, int[] inorder) {
        for(int i = 0; i < preorder.length; i++)
            m.put(preorder[i], 0);
        for(int i = 0; i < preorder.length; i++)
            m.put(inorder[i], i);
        
        return inorderTravel(preorder, inorder, 0, preorder.length - 1);
    }
}
相关推荐
Wect1 天前
LeetCode 130. 被围绕的区域:两种解法详解(BFS/DFS)
前端·算法·typescript
NAGNIP2 天前
一文搞懂深度学习中的通用逼近定理!
人工智能·算法·面试
颜酱2 天前
单调栈:从模板到实战
javascript·后端·算法
CoovallyAIHub2 天前
仿生学突破:SILD模型如何让无人机在电力线迷宫中发现“隐形威胁”
深度学习·算法·计算机视觉
CoovallyAIHub2 天前
从春晚机器人到零样本革命:YOLO26-Pose姿态估计实战指南
深度学习·算法·计算机视觉
CoovallyAIHub2 天前
Le-DETR:省80%预训练数据,这个实时检测Transformer刷新SOTA|Georgia Tech & 北交大
深度学习·算法·计算机视觉
CoovallyAIHub2 天前
强化学习凭什么比监督学习更聪明?RL的“聪明”并非来自算法,而是因为它学会了“挑食”
深度学习·算法·计算机视觉
CoovallyAIHub2 天前
YOLO-IOD深度解析:打破实时增量目标检测的三重知识冲突
深度学习·算法·计算机视觉
NAGNIP3 天前
轻松搞懂全连接神经网络结构!
人工智能·算法·面试
NAGNIP3 天前
一文搞懂激活函数!
算法·面试