# Subset sum of elements sum to \(\sigma\)

We assume the input of the subset sum problem is a sequence of \(n\) positive integers that sums to \(\sigma\). We are interested if there is a subsequence sums to \(t\).

In this case, the subset sum problem can be solved in \(O(\sigma \log^2 \sigma)\) time. In fact, it output all possible subset sums in the same running time.

Consider we partition the input into two subsequences, each have sum in between \(\sigma/4\) and \(3\sigma/4\), and solve each recursively then take the Minkowski sum. One can analyze this and get \(O(\sigma \log^2 \sigma)\) running time. Notice if at some point, such partition cannot be found, then there is a side with a single huge element, and hence can be solved in constant time.