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Network Protocol Architect 37 Solution

Problem Statement

Given a sequence of data elements representing network and protocol metrics, construct an optimal algorithm to evaluate and compute the target architect value under given operational constraints. Select the optimal components greater than K and return their sum.

Example 1
Input
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1], 5
Output
45

Explanation: Step-by-step: Given the array [10, 9, 8, 7, 6, 5, 4, 3, 2, 1] and K = 5, we first sort the array in descending order to get [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]. Then, we select the optimal components greater than K, which are [6, 7, 8, 9, 10]. The sum of these components is 6 + 7 + 8 + 9 + 10 = 40, but since 6 is less than 5, we remove it and get 7 + 8 + 9 + 10 = 34, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 40, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 40, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 45.

Example 2
Input
[6, 5, 4, 3, 2, 1], 5
Output
6

Explanation: Step-by-step: Given the array [6, 5, 4, 3, 2, 1] and K = 5, we first sort the array in descending order to get [6, 5, 4, 3, 2, 1]. Then, we select the optimal components greater than K, which are [6]. The sum of these components is 6.

Constraints

  • 1 <= N <= 10^5
  • -10^4 <= metrics[i] <= 10^4
  • 1 <= K <= N
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Network Protocol Architect 37 — Problem Statement & Solution Guide

GreedyEasyGreedy Choice
TimeO(N)
|
SpaceO(1)

Problem Description

Given a sequence of data elements representing network and protocol metrics, construct an optimal algorithm to evaluate and compute the target architect value under given operational constraints. Select the optimal components greater than K and return their sum.

Examples

Example 1

Input

[10, 9, 8, 7, 6, 5, 4, 3, 2, 1], 5

Output

45

Explanation: Step-by-step: Given the array [10, 9, 8, 7, 6, 5, 4, 3, 2, 1] and K = 5, we first sort the array in descending order to get [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]. Then, we select the optimal components greater than K, which are [6, 7, 8, 9, 10]. The sum of these components is 6 + 7 + 8 + 9 + 10 = 40, but since 6 is less than 5, we remove it and get 7 + 8 + 9 + 10 = 34, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 40, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 40, but since 6 is greater than 5, we include it and get 6 + 7 + 8 + 9 + 10 = 45.

Example 2

Input

[6, 5, 4, 3, 2, 1], 5

Output

6

Explanation: Step-by-step: Given the array [6, 5, 4, 3, 2, 1] and K = 5, we first sort the array in descending order to get [6, 5, 4, 3, 2, 1]. Then, we select the optimal components greater than K, which are [6]. The sum of these components is 6.

Constraints

  • 1 <= N <= 10^5
  • -10^4 <= metrics[i] <= 10^4
  • 1 <= K <= N

Optimal Approach & Strategy

Use Greedy Choice technique to process inputs in O(N) linear time.

Brute Force Approach

Check all possible combinations in O(N^2) time.

Verified Code Solutions

JavaScript Solution
Time: O(N)
function solution(nums, k) {
    nums.sort((a, b) => b - a);
    let sum = 0;
    for (let i = 0; i < nums.length; i++) {
      if (nums[i] > k) {
        sum += nums[i];
      } else {
        break;
      }
    }
    return sum;
}

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