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  • [LeetCode] 106. 从中序与后序遍历序列构造二叉树

    题目链接 : https://leetcode-cn.com/problems/construct-binary-tree-from-inorder-and-postorder-traversal/

    题目描述:

    根据一棵树的中序遍历与后序遍历构造二叉树。

    注意:
    你可以假设树中没有重复的元素。

    例如,给出

    中序遍历 inorder = [9,3,15,20,7]
    后序遍历 postorder = [9,15,7,20,3]
    

    返回如下的二叉树:

        3
       / 
      9  20
        /  
       15   7
    

    思路:

    这道题和105. 从前序与中序遍历序列构造二叉树是一样的

    我们想了解, 后序遍历是 : 左->右->根;中序遍历是:左->根->右

    所以我们可以通过后序遍历,可以把树分成左右部分.

    例如示例中, 后序遍历最后一个节点3,那么节点3左右子树为[9];[15,20,7],然后我们递归下去,简单想法如下

    # Definition for a binary tree node.
    # class TreeNode:
    #     def __init__(self, x):
    #         self.val = x
    #         self.left = None
    #         self.right = None
    
    class Solution:
        def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode:
            if not inorder: return None
            root = TreeNode(postorder[-1])
            loc = inorder.index(postorder[-1])
            root.left = self.buildTree(inorder[ : loc], postorder[ :loc])
            root.right = self.buildTree(inorder[loc+1:], postorder[loc:-1])
            return root
    

    注意:

    1. 我们保证递归下去的 postorderinorder 个数是一样的(关键!!!)
    2. 每次都要index;所以我们可以map 节约时间.

    代码中有注释,很好理解!

    代码:

    # Definition for a binary tree node.
    # class TreeNode:
    #     def __init__(self, x):
    #         self.val = x
    #         self.left = None
    #         self.right = None
    
    class Solution:
        def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode:
            from collections import defaultdict
            n = len(inorder)
            inorder_map = defaultdict(int)
            for idx, val in enumerate(inorder):
                inorder_map[val] = idx
            #print(inorder_map)
            def helper(in_start, in_end, post_start, post_end):
                if in_start == in_end:
                    return None
                #print(post_end)
                root = TreeNode(postorder[post_end - 1])
                loc = inorder_map[postorder[post_end - 1]]
                root.left = helper(in_start, loc, post_start, post_start + loc - in_start)
                root.right = helper(loc + 1, in_end, post_start + loc - in_start, post_end - 1)
                return root
    
            return helper(0, n, 0, n)
    

    java

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    class Solution {
        public TreeNode buildTree(int[] inorder, int[] postorder) {
            Map<Integer, Integer> inorder_map = new HashMap<>();
            int n = inorder.length;
            for (int i = 0; i < n; i++) inorder_map.put(inorder[i], i);
            return helper(inorder, 0, n, postorder, 0, n, inorder_map);
        }
    
        private TreeNode helper(int[] inorder, int in_start, int in_end, int[] postorder, int post_start, int post_end, Map<Integer, Integer> inorder_map) {
            if (in_start == in_end) return null;
            TreeNode root = new TreeNode(postorder[post_end - 1]);
            int loc = inorder_map.get(postorder[post_end - 1]);
            root.left = helper(inorder, in_start, loc, postorder, post_start, post_start + loc - in_start, inorder_map);
            root.right = helper(inorder, loc + 1, in_end, postorder, post_start + loc - in_start, post_end - 1, inorder_map);
            return root;
        }
    }
    
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  • 原文地址:https://www.cnblogs.com/powercai/p/11099514.html
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