Minimum Elements to Add to Form a Given Sum
A medium-tier problem at 44% community acceptance, tagged with Array, Greedy. Reported in interviews at X and 0 others.
You're facing a greedy array problem that sounds simple but trips up candidates who don't think about the constraint correctly. Given an array and a target sum, you need to find the minimum number of elements to add so the array reaches that sum. X asks this. The acceptance rate sits at 44%, which means nearly half the field blanks or optimizes wrong. The trick isn't complex, but the greedy choice has to be exact. If you hit this live and freeze on the strategy, StealthCoder surfaces a working solution in seconds, invisible to the proctor.
Companies that ask "Minimum Elements to Add to Form a Given Sum"
Minimum Elements to Add to Form a Given Sum is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Made for the engineer who has done the work but might still blank with a webcam pointed at him.
Get StealthCoderThe greedy move here is to always add the largest element you can without overshooting the target. Start with your current sum, calculate the gap to the target, then repeatedly add the maximum value from your array (or any allowed value) until you close that gap. Most candidates either try to reuse elements without thinking through the constraint, or they build a DP table when greedy is faster. The catch: some variants allow adding any positive integer, others lock you to array elements. Read the problem statement twice. Once you lock the greedy direction, the code is straightforward. StealthCoder is your safety net if you misread the constraint during the assessment and need a fast pivot.
Pattern tags
You know the problem.
Make sure you actually pass it.
Minimum Elements to Add to Form a Given Sum recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Made for the engineer who has done the work but might still blank with a webcam pointed at him. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Elements to Add to Form a Given Sum interview FAQ
Is this just 'greedily pick the largest element until sum is reached'?+
Yes, that's the core idea. Sort descending or track the max, then count how many times you need to add it (or other elements) to close the gap. The greedy choice minimizes count because you're always reducing the remainder as much as possible per addition.
Does order matter, or can I reuse elements?+
Element reuse is the key difference. If you can reuse, greedy on the max element is optimal. If you can't, the problem gets harder. Your input problem doesn't specify, so check the exact constraint in your OA. The acceptance rate (44%) suggests many get this detail wrong.
Why is acceptance only 44%? What's the trap?+
Candidates often optimize for wrong goals (smallest element, array order) or misread whether reuse is allowed. Another common miss: forgetting that sum can be negative or that you're adding to an existing total, not replacing. Re-read the problem statement before coding.
Is this related to the coin change problem?+
Similar structure, but different. Coin change is DP because you need the optimal combination for any amount. Here, greedy works because you're minimizing count, not finding a specific composition. The constraint difference (greedy vs. DP) is why one is medium difficulty.
How do I know if greedy is safe here?+
Greedy is safe when taking the largest value always reduces your remainder optimally. For sum-to-target problems with reuse, that's true. Prove it by contradiction: if you skip the max and pick smaller values, you'll always need more additions. Check this logic before submitting.
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