partition_brute


partition_brute, a Fortran77 code which seeks solutions of the partition problem, splitting a set of integers into two subsets with equal sum.

Licensing:

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

Languages:

partition_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:

change_making, a Fortran77 library which considers the change making problem, in which a given sum is to be formed using coins of various denominations.

combination_lock, a Fortran77 program which simulates the process of determining the secret combination of a lock.

COMBO, a Fortran90 library which includes many combinatorial routines.

KNAPSACK, a Fortran77 library which solves a variety of knapsack problems.

KNAPSACK_01, a Fortran77 library which uses brute force to solve small versions of the 0/1 knapsack problem;

LAMP, a Fortran77 library which solves linear assignment and matching problems.

partition_brute, a dataset directory which contains examples of the partition problem, in which a set of numbers is given, and it is desired to break the set into two subsets with equal sum.

SATISFY, a Fortran77 program which demonstrates, for a particular circuit, an exhaustive search for solutions of the circuit satisfiability problem.

SUBSET, a Fortran77 library which enumerates, generates, ranks and unranks combinatorial objects including combinations, partitions, subsets, index sets, and trees.

SUBSET_SUM, a Fortran77 library which seeks solutions of the subset sum problem.

SUBSET_SUM_TASKS, a MATLAB program which runs in parallel, seeking solutions of the subset sum problem. Instructions are available on how to run the job, via MATLAB's BATCH facility, on a remote system such as Virginia Tech's ITHACA cluster.

TSP_BRUTE, a Fortran77 program which reads a file of city-to-city distances and solves the traveling salesperson problem, using brute force.

Reference:

  1. Alexander Dewdney,
    The Turing Omnibus,
    Freeman, 1989,
    ISBN13: 9780716781547,
    LC: QA76.D45.
  2. Brian Hayes,
    The Easiest Hard Problem,
    American Scientist,
    Volume 90, Number 2, March-April 2002, pages 113-117.
  3. Silvano Martello, Paolo Toth,
    Knapsack Problems: Algorithms and Computer Implementations,
    Wiley, 1990,
    ISBN: 0-471-92420-2,
    LC: QA267.7.M37.

Source Code:


Last revised on 16 October 2022.