SUBSET_SUM is a Python program which seeks solutions of the subset sum problem.
SUBSET_SUM_NEXT works by backtracking, returning all possible solutions one at a time, keeping track of the selected weights using a 0/1 mask vector of size N.
SUBSET_SUM_TABLE works by a kind of dynamic programming approach, constructing a table of all possible sums from 1 to S. The storage required is N * S, so for large S this can be an issue.
SUBSET_SUM_FIND works by brute force, trying every possible subset to see if it sums to the desired value. It uses the bits of a 32 bit integer to keep track of the possibilities, and hence cannot work with more N = 31 weights.
I don't care what you do with this code.
SUBSET_SUM is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
KNAPSACK_01, a Python library which uses brute force to solve small versions of the 0/1 knapsack problem;
PARTITION_PROBLEM, a Python library which seeks solutions of the partition problem, splitting a set of integers into two subsets with equal sum.
SATISFY, a Python program which demonstrates, for a particular circuit, an exhaustive search for solutions of the circuit satisfiability problem.
SUBSET, a Python library which enumerates, generates, ranks and unranks combinatorial objects including combinations, partitions, subsets, index sets, and trees.
SUBSET_SUM, a dataset directory which contains examples of the subset sum problem, in which a set of numbers is given, and is desired to find at least one subset that sums to a given target value.
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