Node Vault Aligner 37 — Problem Statement & Solution Guide
Problem Description
Given a sequence of data elements representing node and vault metrics, construct an optimal algorithm to evaluate and compute the target aligner value under given operational constraints. The function should add all values in the array if K is less than or equal to all values, otherwise, it should add values greater than K.
Examples
Input
[10, 20, 30, 40, 50] and K = 25
Output
150
Explanation: Step-by-step: We iterate through the array and add all values to the sum because K is less than or equal to all values. Therefore, the final output is 150.
Input
[10, 20, 30, 40, 50] and K = 60
Output
150
Explanation: Step-by-step: We iterate through the array and add all values to the sum because the condition num > K is not met for any value in the array. Therefore, the final output is 150.
Constraints
- 1 <= N <= 10^5
- -10^4 <= metrics[i] <= 10^4
- 1 <= K <= N
Optimal Approach & Strategy
Use Frequency Hash Map 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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