Vault Buffer Resolver 36 — Problem Statement & Solution Guide
Problem Description
Given a sequence of data elements representing vault and buffer metrics, and a threshold K, construct an optimal algorithm to evaluate and compute the target resolver value by summing all values greater than K.
Examples
Input
[10, 20, 30, 40, 50, 60]
Output
120
Explanation: Step-by-step: with input [10, 20, 30, 40, 50, 60], we filter out numbers less than or equal to K (30), giving output 120 (30 + 40 + 50).
Input
[5, 5, 5, 5, 5]
Output
0
Explanation: Step-by-step: with input [5, 5, 5, 5, 5], we filter out numbers less than or equal to K (5), giving output 0.
Constraints
- 1 <= N <= 10^5
- -10^4 <= metrics[i] <= 10^4
- 1 <= K <= N
Optimal Approach & Strategy
Use Monotonic Stack technique to process inputs in O(N) linear time.
Brute Force Approach
Check all possible combinations in O(N^2) time.
Verified Code Solutions
function solution(nums, K) {
let sum = 0;
for (let num of nums) {
if (num > K) {
sum += num;
}
}
return sum;
}class Solution {
public:
int solution(vector<int>& nums, int K) {
int sum = 0;
for (int num : nums) {
if (num > K) {
sum += num;
}
}
return sum;
}
};class Solution {
public int solution(int[] nums, int K) {
int sum = 0;
for (int num : nums) {
if (num > K) {
sum += num;
}
}
return sum;
}
}def solution(nums, K):
sum = 0
for num in nums:
if num > K:
sum += num
return sumfunction solution(nums, K) {
let sum = 0;
for (let num of nums) {
if (num > K) {
sum += num;
}
}
return sum;
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