Post-Order Traversal and Sorted Lists
Interesting problem combining post-order traversal and sorted lists:
1/ Perform a post-order traversal
2/ On each step, return a sorted list with the smallest K elements in the subtree
3/ Insertion operation and merge of sorted lists done in a custom way for speed
Time complexity around O(number of nodes * k). Code is down below, cheers, ACC.
Count Nodes That Are Great Enough - LeetCode
You are given a root to a binary tree and an integer k. A node of this tree is called great enough if the followings hold:
- Its subtree has at least
knodes. - Its value is greater than the value of at least
knodes in its subtree.
Return the number of nodes in this tree that are great enough.
The node u is in the subtree of the node v, if u == v or v is an ancestor of u.
Example 1:
Input: root = [7,6,5,4,3,2,1], k = 2 Output: 3 Explanation: Number the nodes from 1 to 7. The values in the subtree of node 1: {1,2,3,4,5,6,7}. Since node.val == 7, there are 6 nodes having a smaller value than its value. So it's great enough. The values in the subtree of node 2: {3,4,6}. Since node.val == 6, there are 2 nodes having a smaller value than its value. So it's great enough. The values in the subtree of node 3: {1,2,5}. Since node.val == 5, there are 2 nodes having a smaller value than its value. So it's great enough. It can be shown that other nodes are not great enough. See the picture below for a better understanding.

Example 2:
Input: root = [1,2,3], k = 1 Output: 0 Explanation: Number the nodes from 1 to 3. The values in the subtree of node 1: {1,2,3}. Since node.val == 1, there are no nodes having a smaller value than its value. So it's not great enough. The values in the subtree of node 2: {2}. Since node.val == 2, there are no nodes having a smaller value than its value. So it's not great enough. The values in the subtree of node 3: {3}. Since node.val == 3, there are no nodes having a smaller value than its value. So it's not great enough. See the picture below for a better understanding.

Example 3:
Input: root = [3,2,2], k = 2 Output: 1 Explanation: Number the nodes from 1 to 3. The values in the subtree of node 1: {2,2,3}. Since node.val == 3, there are 2 nodes having a smaller value than its value. So it's great enough. The values in the subtree of node 2: {2}. Since node.val == 2, there are no nodes having a smaller value than its value. So it's not great enough. The values in the subtree of node 3: {2}. Since node.val == 2, there are no nodes having a smaller value than its value. So it's not great enough. See the picture below for a better understanding.

Constraints:
- The number of nodes in the tree is in the range
[1, 104]. 1 <= Node.val <= 1041 <= k <= 10
public int CountGreatEnoughNodes(TreeNode root, int k)
{
int retVal = 0;
List listSubtree = new List();
CountGreatEnoughNodes(root, k, ref listSubtree, ref retVal);
return retVal;
}
private void CountGreatEnoughNodes(TreeNode node,
int k,
ref List listSubtree,
ref int retVal)
{
if (node == null) return;
List leftSubtree = new List();
CountGreatEnoughNodes(node.left, k, ref leftSubtree, ref retVal);
List rightSubtree = new List();
CountGreatEnoughNodes(node.right, k, ref rightSubtree, ref retVal);
listSubtree = MergeSortedLists(leftSubtree, rightSubtree, k);
if (listSubtree.Count >= k && node.val > listSubtree[k - 1]) retVal++;
AddToSortedList(node.val, ref listSubtree, k);
}
private List MergeSortedLists(List list1,
List list2,
int k)
{
List retVal = new List();
int index1 = 0;
int index2 = 0;
while (index1 < list1.Count &&
index2 < list2.Count &&
index1 + index2 < k)
{
if (list1[index1] < list2[index2])
{
retVal.Add(list1[index1]);
index1++;
}
else
{
retVal.Add(list2[index2]);
index2++;
}
}
while (index1 < list1.Count && index1 + index2 < k)
{
retVal.Add(list1[index1]);
index1++;
}
while (index2 < list2.Count && index1 + index2 < k)
{
retVal.Add(list2[index2]);
index2++;
}
return retVal;
}
public void AddToSortedList(int val, ref List sortedList, int k)
{
bool added = false;
for (int i = 0; i < sortedList.Count; i++)
{
if (sortedList[i] > val)
{
sortedList.Insert(i, val);
added = true;
break;
}
}
if (!added) sortedList.Add(val);
if (sortedList.Count > k)
sortedList.RemoveAt(k);
}
Comments
Post a Comment