I have a list of numbers and I want to add up all the different combinations. For example:
The best-known algorithm requires exponential time. If there were a polynomial-time algorithm, then you would solve the subset sum problem, and thus the P=NP problem.
The algorithm here is to create bitvector of length that is equal to the cardinality of your set of numbers. Fix an enumeration (n_i) of your set of numbers. Then, enumerate over all possible values of the bitvector. For each enumeration (e_i) of the bitvector, compute the sum of e_i * n_i.
The intuition here is that you are representing the subsets of your set of numbers by a bitvector and generating all possible subsets of the set of numbers. When bit e_i is equal to one, n_i is in the subset, otherwise it is not.
The fourth volume of Knuth's TAOCP provides algorithms for generating all possible values of the bitvector.