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Home/ Questions/Q 622769
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T19:01:13+00:00 2026-05-13T19:01:13+00:00

First off, let me say that this is not homework (I am an A-Level

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First off, let me say that this is not homework (I am an A-Level student, this is nothing close to what we problem solve (this is way harder)), but more of a problem I’m trying to suss out to improve my programming logic.

I thought of a scenario where there is an array of random integers, let’s for example say 10 integers. The user will input a number he wants to count to, and the algorithm will try and work out what numbers are needed to make that sum. For example if I wanted to make the sum 44 from this array of integers:

myIntegers = array(1, 5, 9, 3, 7, 12, 36, 22, 19, 63);

The output would be:

36 + 3 + 5 = 44

Or something along those lines. I hope I make myself clear. As an added bonus I would like to make the algorithm pick as few numbers as possible to make the required sum, or give out an error if the sum cannot be made with the numbers supplied.

I thought about using recursion and iterating through the array, adding numbers over and over until the sum is met or gone past. But what I can’t get my head around is what to do if the algorithm goes past the sum and needs to be selective about what numbers to pick from the array.

I’m not looking for complete code, or a complete algorithm, I just want your opinions on how I should proceed with this and perhaps share a few tips or something. I’ll probably start work on this tonight. 😛

As I said, not homework. Just me wanting to do something a bit more advanced.

Thanks for any help you’re able to offer. 🙂

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  1. Editorial Team
    Editorial Team
    2026-05-13T19:01:13+00:00Added an answer on May 13, 2026 at 7:01 pm

    You are looking at the Knapsack Problem

    The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most useful items.


    Edit: Your special case is the Subset Sum Problem

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