Say S = 5 and N = 3 the solutions would look like - <0,0,5> <0,1,4> <0,2,3> <0,3,2> <5,0,0> <2,3,0> <3,2,0> <1,2,2> etc etc.
In the general case, N nested loops can be used to solve the problem. Run N nested loop, inside them check if the loop variables add upto S.
If we do not know N ahead of time, we can use a recursive solution. In each level, run a loop starting from 0 to N, and then call the function itself again. When we reach a depth of N, see if the numbers obtained add up to S.
Any other dynamic programming solution?
Try this recursive function:
f(s, n) = 1 if s = 0
= 0 if s != 0 and n = 0
= sum f(s - i, n - 1) over i in [0, s] otherwise
To use dynamic programming you can cache the value of f after evaluating it, and check if the value already exists in the cache before evaluating it.
There is a closed form formula : binomial(s + n - 1, s) or binomial(s+n-1,n-1)
Those numbers are the simplex numbers.
If you want to compute them, use the log gamma function or arbitrary precision arithmetic.
See https://math.stackexchange.com/questions/2455/geometric-proof-of-the-formula-for-simplex-numbers
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