108. Convert Sorted Array to Binary Search Tree

本文介绍了一种将已排序的数组转换为高度平衡二叉搜索树的方法。平衡二叉搜索树是一种特殊的二叉树,其每个节点的左右子树的深度相差不超过1。文章提供了一个具体的例子,通过递归地选取中间元素作为根节点来构建平衡树。

题目描述

Given an array where elements are sorted in ascending order, convert it to a height balanced BST.

For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.

Example:

Given the sorted array: [-10,-3,0,5,9],

One possible answer is: [0,-3,9,-10,null,5], which represents the following height balanced BST:

在这里插入图片描述

方法思路

class Solution {
    public TreeNode sortedArrayToBSTHelp(int left, int right, int[]nums){
        if(left > right)
            return null;
        int mid = (left + right) / 2;
        TreeNode node = new TreeNode(nums[mid]);
        if(left == right)
            return node;
        node.left = sortedArrayToBSTHelp(left, mid - 1, nums);
        node.right = sortedArrayToBSTHelp(mid + 1, right, nums);
        return node;
    }
    
    public TreeNode sortedArrayToBST(int[] nums) {
        return sortedArrayToBSTHelp(0, nums.length - 1, nums);
    }
}
To convert the given array to a complete BST, we need to perform the following steps: 1. Sort the array in ascending order 2. Construct a complete binary tree using the sorted array 3. Perform inorder traversal of the binary tree and store the elements in the original array in the same order as the traversal Here's the implementation of the to_bst(lst) function in Python: ```python def to_bst(lst): # Sort the input list lst.sort() # Construct a complete binary tree using the sorted list n = len(lst) if n == 0: return lst root = lst[n // 2] left_subtree = to_bst(lst[:n // 2]) right_subtree = to_bst(lst[n // 2 + 1:]) binary_tree = [root] + left_subtree + right_subtree # Perform inorder traversal of the binary tree and store the elements in the original array inorder_traversal(binary_tree, lst, 0) return lst def inorder_traversal(binary_tree, lst, i): # Perform inorder traversal of the binary tree and store the elements in the original array n = len(binary_tree) if i >= n: return inorder_traversal(binary_tree, lst, 2 * i + 1) lst[i] = binary_tree[i] inorder_traversal(binary_tree, lst, 2 * i + 2) ``` The to_bst(lst) function takes in the input list and returns the same list after converting it to a complete BST. The function first sorts the input list in ascending order. It then constructs a complete binary tree using the sorted list by recursively dividing the list into two halves and setting the middle element as the root of the binary tree. Finally, the function performs an inorder traversal of the binary tree and stores the elements in the original list in the same order as the traversal.
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