subset_sum_brute


subset_sum_brute, an Octave code which uses brute force to solve the subset sum problem, to find a subset of a set of integers which has a given sum.

We are given a collection of (21) weights and a target value (24639098). We seek a combination of the weights which adds up to the target value.

The function subset_sum_brute() simply considers every possible subset of the weights, determines its sum, and compares that to the target value. The first case in which the target value is matched is returned as the solution.

This program, which solves the problem serially, is primarily intended to be a starting point for a parallel programming approach.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

subset_sum_brute is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

subset_sum_brute_test

closest_pair_brute, an Octave code which uses brute force to solve a 2D version of the closest pair problem, which identifies the closest pair of points in a given collection.

knapsack_01_brute, an Octave code which uses brute force to solve small versions of the 0/1 knapsack problem;

matrix_chain_brute, an Octave code which finds the cost of the most efficient ordering to use when multiplying a sequence of matrices, using brute force.

octave_combinatorics, an Octave code which considers a variety of problems in combinatorics involving counting, combinations, permutations, and so on.

partition_brute, an Octave code which uses a brute force method to find solutions of the partition problem, in which a set of integers must be split into two subsets with equal sum.

satisfy_brute, an Octave code which uses brute force to find all assignments of values to a set of logical variables which make a complicated logical statement true.

tsp_brute, an Octave code which is given a city-to-city distance table, and solves a (small) traveling salesperson problem (TSP), using brute force.

Reference:

Source Code:


Last revised on 06 October 2022.