LeetCode 108 - Convert Sorted Array to Binary Search Tree


https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/
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:

      0
     / \
   -3   9
   /   /
 -10  5
https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/discuss/35220/My-Accepted-Java-Solution
public TreeNode sortedArrayToBST(int[] num) {
    if (num.length == 0) {
        return null;
    }
    TreeNode head = helper(num, 0, num.length - 1);
    return head;
}

public TreeNode helper(int[] num, int low, int high) {
    if (low > high) { // Done
        return null;
    }
    int mid = (low + high) / 2;
    TreeNode node = new TreeNode(num[mid]);
    node.left = helper(num, low, mid - 1);
    node.right = helper(num, mid + 1, high);
    return node;
}
X. Not efficient
http://www.cnblogs.com/grandyang/p/4295245.html
我们也可以不使用额外的递归函数,而是在原函数中完成递归,由于原函数的参数是一个数组,所以当把输入数组的中间数字取出来后,需要把所有两端的数组组成一个新的数组,并且分别调用递归函数,并且连到新创建的cur结点的左右子结点上面

    TreeNode* sortedArrayToBST(vector<int>& nums) {
        if (nums.empty()) return NULL;
        int mid = nums.size() / 2;
        TreeNode *cur = new TreeNode(nums[mid]);
        vector<int> left(nums.begin(), nums.begin() + mid), right(nums.begin() + mid + 1, nums.end());
        cur->left = sortedArrayToBST(left);
        cur->right = sortedArrayToBST(right);
        return cur;
    }

X. https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/discuss/35218/Java-Iterative-Solution
I came up with the recursion solution first and tried to translate it into an iterative solution. It is very similar to doing a tree inorder traversal, I use three stacks - nodeStack stores the node I am going to process next, and leftIndexStack and rightIndexStack store the range where this node need to read from the nums.
public class Solution {
    
    public TreeNode sortedArrayToBST(int[] nums) {
        
        int len = nums.length;
        if ( len == 0 ) { return null; }
        
        // 0 as a placeholder
        TreeNode head = new TreeNode(0); 
        
        Deque<TreeNode> nodeStack       = new LinkedList<TreeNode>() {{ push(head);  }};
        Deque<Integer>  leftIndexStack  = new LinkedList<Integer>()  {{ push(0);     }};
        Deque<Integer>  rightIndexStack = new LinkedList<Integer>()  {{ push(len-1); }};
        
        while ( !nodeStack.isEmpty() ) {
            TreeNode currNode = nodeStack.pop();
            int left  = leftIndexStack.pop();
            int right = rightIndexStack.pop();
            int mid   = left + (right-left)/2; // avoid overflow
            currNode.val = nums[mid];
            if ( left <= mid-1 ) {
                currNode.left = new TreeNode(0);  
                nodeStack.push(currNode.left);
                leftIndexStack.push(left);
                rightIndexStack.push(mid-1);
            }
            if ( mid+1 <= right ) {
                currNode.right = new TreeNode(0);
                nodeStack.push(currNode.right);
                leftIndexStack.push(mid+1);
                rightIndexStack.push(right);
            }
        }
        return head;
    }

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