Hint:
This question is highly recursive in nature. Think of how binary search works.

An example of a height-balanced tree. A height-balanced tree is a tree whose subtrees differ in height by no more than one and the subtrees are height-balanced, too.
Solution:
If you would have to choose an array element to be the root of a balanced BST, which element would you pick? The root of a balanced BST should be the middle element from the sorted array.
You would pick the middle element from the sorted array in each iteration. You then create a node in the tree initialized with this element. After the element is chosen, what is left? Could you identify the sub-problems within the problem?
There are two arrays left -- The one on its left and the one on its right. These two arrays are the sub-problems of the original problem, since both of them are sorted. Furthermore, they are subtrees of the current node's left and right child.
The code below creates a balanced BST from the sorted array in O(N) time (N is the number of elements in the array). Compare how similar the code is to a binary search algorithm. Both are using the divide and conquer methodology.
BinaryTree* sortedArrayToBST(int arr[], int start, int end) {
if (start > end) return NULL;
// same as (start+end)/2, avoids overflow.
int mid = start + (end - start) / 2;
BinaryTree *node = new BinaryTree(arr[mid]);
node->left = sortedArrayToBST(arr, start, mid-1);
node->right = sortedArrayToBST(arr, mid+1, end);
return node;
}
BinaryTree* sortedArrayToBST(int arr[], int n) {
return sortedArrayToBST(arr, 0, n-1);
}
Further Thoughts:
Consider changing the problem statement to "Converting a singly linked list to a balanced BST". How would your implementation change from the above?
Check out my next post: Convert Sorted List to Balanced Binary Search Tree (BST) for the best solution.
answered
25 Nov '10, 15:06
1337c0d3r ♦♦
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