Average of Levels in Binary Tree
Given a non-empty binary tree, return the average value of the nodes on each level in the form of an array.
The range of node's value is in the range of 32-bit signed integer.
Input:
3
/ \
9 20
/ \
15 7
Output: [3, 14.5, 11]
Explanation:
The average value of nodes on level 0 is 3, on level 1 is 14.5, and on level 2 is 11. Hence return [3, 14.5, 11].
For every level, we need sum of all nodes and the number of all noded.
We can use "Level Order Traversal" to get this target.
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public List<Double> averageOfLevels(TreeNode root) {
List<Double> results = new ArrayList<Double>();
Queue<TreeNode> queue = new LinkedList<TreeNode>();
if (root == null) {
results.add(0.0);
return results;
}
queue.add(root);
while (!queue.isEmpty()) {
int len = queue.size();
double avg = 0.0;
for (int i = 0; i < len; i++) {
TreeNode node = queue.poll();
if (node.left != null) {
queue.add(node.left);
}
if (node.right != null) {
queue.add(node.right);
}
avg += node.val;
}
avg /= (double)len;
results.add(avg);
}
return results;
}
}
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
vector<double> averageOfLevels(TreeNode* root) {
vector<double> result;
queue<TreeNode*> queue;
if (root == NULL) {
return result;
}
queue.push(root);
while (!queue.empty()) {
int size = queue.size();
double val = 0.0;
for (int i = 0; i < size; i++) {
TreeNode* node = queue.front();
val += node->val;
if (node->left != NULL) {
queue.push(node->left);
}
if (node->right != NULL) {
queue.push(node->right);
}
queue.pop();
}
result.push_back(val / (double) size);
}
return result;
}
};
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
import Queue
class Solution(object):
def averageOfLevels(self, root):
"""
:type root: TreeNode
:rtype: List[float]
"""
result = []
q = Queue.Queue()
if root == None:
return result
q.put(root)
while q.qsize() != 0:
size = q.qsize()
val = 0.0
for i in range(size):
node = q.get()
val += node.val
if node.left != None:
q.put(node.left)
if node.right != None:
q.put(node.right)
result.append(val / (0.0 + size))
return result
- Time Complexity: O(N), N is the number of nodes in the tree.
- Space Complexity: O(LogN), LogN is the total level of the tree.