Hi @Merse Gaspar ,
You mentioned, “What is the most effective/shortest solution to this? I want to go through all possible splits of a set and I need the two subsets. For example, take the numbers 1 to 10, these have 2^10 bisections. These can be easily generated in this way: N=10; X = dec2bin(0:2^N-1); And then you could go through the rows of the X matrix.But my question is whether there is a shorter solution that would produce the two subsets quickly and directly.So these should be included in the output: “
To achieve the desired outcome of generating all possible splits of a set into two subsets, you can utilize a recursive approach or a combinatorial method. The challenge lies in efficiently producing the two subsets for each possible division of the set. Below, I will provide a detailed explanation of the approach, followed by the complete MATLAB code. My approach would be create a recursive function that will generate all combinations of the elements in the set. For each combination, you can derive the two subsets by determining which elements are included in the current combination and which are not or use Combinatorial Generation. Instead of generating binary representations, you can directly use MATLAB's built-in functions to generate combinations. This will allow us to avoid unnecessary iterations and directly obtain the subsets. Here is the complete MATLAB code that implements the above approach:
function generateSubsets(N) % Generate a vector of numbers from 1 to N numbers = 1:N;
% Initialize a cell array to hold the results
results = {}; % Loop through all possible sizes of the first subset
for k = 1:N-1
% Generate all combinations of size k
combinations = nchoosek(numbers, k); % Loop through each combination
for i = 1:size(combinations, 1)
% Current subset
subset1 = combinations(i, :);
% Remaining elements form the second subset
subset2 = setdiff(numbers, subset1); % Store the result
results{end+1} = {subset1, subset2}; %#ok<AGROW>
end
end % Display the results
for j = 1:length(results)
fprintf('[%s], [%s]\n', num2str(results{j}{1}), num2str(results{j}{2}));
end
end% Call the function with N = 10 generateSubsets(10);
For more information on nchoosek function, please refer to
https://www.mathworks.com/help/matlab/ref/nchoosek.html
Please see attached.
So, in the above script, function generateSubsets(N) takes an integer N as input, which defines the range of numbers from 1 to N. A vector numbers is created containing the integers from 1 to N. The nchoosek function is used to generate all combinations of the numbers for sizes ranging from 1 to N-1. This ensures that we do not create empty subsets. For each combination generated, the first subset is taken directly from the combination, while the second subset is derived using the setdiff function, which finds the elements not included in the first subset. The subsets are stored in a cell array results, which allows for dynamic storage of varying sizes of subsets. Finally, the results are printed in the specified format.
So, as you can realize now that by leveraging combinatorial functions, you avoid the overhead of binary representation and directly obtain the desired subsets. This approach is not only shorter but also more intuitive, making it easier to understand and maintain.
Hope this helps.
Please let me know if you have any further questions.
