Problem
You are given an integer n
representing the number of nodes in a perfect binary tree consisting of nodes numbered from 1
to n
. The root of the tree is node 1
and each node i
in the tree has two children where the left child is the node 2 * i
and the right child is 2 * i + 1
.
Each node in the tree also has a cost represented by a given 0-indexed integer array cost
of size n
where cost[i]
is the cost of node i + 1
. You are allowed to increment the cost of any node by 1
any number of times.
Return **the *minimum* number of increments you need to make the cost of paths from the root to each leaf node equal**.
Note:
- A **perfect binary tree **is a tree where each node, except the leaf nodes, has exactly 2 children.
- The cost of a path is the sum of costs of nodes in the path.
Example 1:
Input: n = 7, cost = [1,5,2,2,3,3,1]
Output: 6
Explanation: We can do the following increments:
- Increase the cost of node 4 one time.
- Increase the cost of node 3 three times.
- Increase the cost of node 7 two times.
Each path from the root to a leaf will have a total cost of 9.
The total increments we did is 1 + 3 + 2 = 6.
It can be shown that this is the minimum answer we can achieve.
Example 2:
Input: n = 3, cost = [5,3,3]
Output: 0
Explanation: The two paths already have equal total costs, so no increments are needed.
Constraints:
3 <= n <= 105
n + 1
is a power of2
cost.length == n
1 <= cost[i] <= 104
Solution (Java)
class Solution {
int res = 0;
public int minIncrements(int n, int[] cost) {
dfs(0, cost);
return res;
}
private int dfs(int i, int[] cost) {
if (i >= cost.length) return 0;
int a = dfs(2 * i + 1, cost), b = dfs(2 * i + 2, cost);
res += Math.abs(a - b);
return cost[i] + Math.max(a, b);
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).