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

The change making problem is given a target value C and a set of N coin denominations with value W. The task is to determine the minimum number of coins needed to form the given value.

In the unbounded change making problem, there are a limitless supply of coins of each denomination. In the bounded change making problem, each denomination is available only up to some given limit.

For some sets of denominations, there will be target values that cannot be formed. (This relates to Frobenius's problem.)

A greedy algorithm for solving the change making problem repeatedly selects the largest coin denomination available that does not exceed the remainder. A greedy algorithm is simple, but it is not guaranteed to find a solution when one exists, and it is not guaranteed to find a minimal solution.

For certain sets of coin denominations, such as the US system of 1, 5, 10, 25, 50, 100, there is always a solution, and the greedy algorithm will always find the minimal solution.

For a set of coins such as the old British system, using 1, 2, 6, 12, 24, 48 and 60, there is always a solution, but the greedy algorithm will not always find the minimal solution.

For artificial systems such as 20, 25, 40, it is easy to see that there are many cases where there is no solution (you can't make ANY value that isn't a multiple of 5) but that the greedy will fail to find a solution for 50, even though that is easily formed as 25 + 25.

The computer code and data files described and made available on this web page are distributed under the MIT license

**change_making** is available in
a C version and
a C++ version and
a FORTRAN90 version and
a MATLAB version and
a Python version.

change_making, a dataset directory which contains test data for the change making problem;

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- change_making.py the source code.
- change_making.sh runs the tests.
- change_making.txt, the output file.