标签:ice red 开始 example arch [] output multiple lan
Given a sorted (increasing order) array, Convert it to create a binary tree with minimal height.
Example 1:
Input: {1,2}
Output: A binary search tree with minimal height.
Explanation:
2
/
1
Example 2:
Input: {1,2,3,4,5,6,7}
Output: A binary search tree with minimal height.
Explanation:
4
/ 2 6
/ \ / 1 3 5 7
There may exist multiple valid solutions, return any of them.
思路:
Binary Search Tree特性:Binary Search Tree中序遍历的结果是升序数组。对于一个升序数组,一旦确定了根节点,根节点左半边部分全部属于左子树,根节点右半部分全部属于右子树。
最小高度的二叉树,就要尽可能满足其平衡。也就是说尽量保证根节点的左子树和右子树的节点个数差不多。所以一开始把数组中间的那个数定为根节点。
一旦确定了根节点在数组中的index值,其左子树的范围则是A[start, index - 1],右子树的范围则是A[index + 1, end], 然后用分治法递归,求出根的左子树和右子树
代码:
/** * Definition of TreeNode: * public class TreeNode { * public int val; * public TreeNode left, right; * public TreeNode(int val) { * this.val = val; * this.left = this.right = null; * } * } */ public class Solution { /* * @param A: an integer array * @return: A tree node */ public TreeNode sortedArrayToBST(int[] A) { if (A.length == 0 || A == null) { return null; } return helper(A, 0, A.length - 1); } public TreeNode helper(int[] A, int start, int end) { if (start > end) { return null; } if (start == end) { return new TreeNode(A[start]); } int mid = (start + end) / 2; TreeNode root = new TreeNode(A[mid]); root.left = helper(A, start, mid - 1); root.right = helper(A, mid + 1, end); return root; } }
Lintcode177-Convert Sorted Array to Binary Search Tree With Minimal Height-Easy
标签:ice red 开始 example arch [] output multiple lan
原文地址:https://www.cnblogs.com/Jessiezyr/p/10682600.html