Hackerrank: Max Array Sum Solution

Approach

A subset can be one element only

Base cases:

  • max at 0 is max(arr[0], 0)
  • max at 1 is max(arr[0], arr[1], 0)

Then cases:

  • max at i is max(arr[i], maxAt[i - 1], maxAt[i - 2] + arr[i], 0)

Tail 0 on every max because negative value is rejected

Implementation

1function maxSubsetSum(arr) {
2 const N = arr.length
3 const maxes = Array(N).fill(0)
4
5 maxes[0] = Math.max(arr[0], 0)
6 maxes[1] = Math.max(arr[0], arr[1], 0)
7 for (let i = 2; i < N; i++) {
8 maxes[i] = Math.max(arr[i], maxes[i - 1], maxes[i - 2] + arr[i], 0)
9 }
10
11 return maxes[N - 1]
12}

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Tags

hackerrank

dynamic programming

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