nsumk

Returns the number and listing of n-tuples of non-negative integers adding up to k.
1.1K Downloads
Updated 15 Aug 2010

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Little more than syntactic sugar for nchoosek, this small but surprisingly controversial function returns the number of (ordered) n-tuples of non-negative integers adding up to k, and if supplied a second argument, a listing of them. As an alternative to downloading, just cut and paste the following:

m = nchoosek(k+n-1,n-1);
dividers = [zeros(m,1),nchoosek((1:(k+n-1))',n-1),ones(m,1)*(k+n)];
x = diff(dividers,1,2)-1;

It has been noted with some passion that this it is possible to achieve the same result using partitions.m, a more general function posted on Matlab Central. Indeed nsumk(n,k) returns the same result as sortrows(partitions(k, ones(1,n))). For small problems the latter is probably no more than 10x slower than using nchoosek. For large problems the performance of nsumk is substantially better (but only because we desire a special ordering).

These observations may be more relevant to others than this author, and no effort has been made to optimize nsumk (or for that matter nchoosek). See vchoosek.m for a faster .mex implementation of nchoosek.

Cite As

Peter Cotton (2024). nsumk (https://www.mathworks.com/matlabcentral/fileexchange/28340-nsumk), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Numeric Types in Help Center and MATLAB Answers
Acknowledgements

Inspired by: Partitions of an integer, VChooseK, Unique random permutations

Inspired: laplace.m

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Version Published Release Notes
1.7.0.0

Included link to vchoosek.m

1.6.0.0

Modified comments

1.5.0.0

Modified documentation

1.4.0.0

Fixed upload error

1.3.0.0

Modified the extremely controversial overloading of the first argument

1.2.0.0

Forgot to include partitions.m (required for nsumkdaft.m)

1.1.0.0

I have included nsumkdaft.m which does the same thing using partitions.m

1.0.0.0