Let's say we have such an array: myArray = [A, A, B, B, C, C, D, E]I would like to create an algorithm so that it will find all the combinations that add up to the whole array, where none of the elements are repeated.

## How to find all partitions of a multiset, where each part has distinct elements?

Let's say we have such an array: myArray = [A, A, B, B, C, C, D, E]I would like to create an algorithm so that it will find all the combinations that add up to the whole array, where none of the elements are repeated.

## count number of partitions of a set with n elements into k subsets

This program is for count number of partitions of a set with n elements into k subsets I am confusing here return k*countP(n-1, k) + countP(n-1, k-1); can some one explain what is happening here? why we are multiplying with k?

## Picking unordered combinations from pools with overlap

I have pools of values and I would like to generate every possible unordered combination by picking from certain pools.

## What is the more elegant way of finding combinations in a list?

I came up with this algorithm to find triplets of pairs (I call them trairs), the criteria is that all 3 elements (coins), and only the 3, must be present in all 3 pairs.

## Find most efficient groups of pairs

I have a group of people, and I want each person to have a 1:1 meeting with every other person in the group. A given person can only meet with one other person at a time, so I want to do the following:

## Python Numpy vectorize nested for-loops for combinatorics

Given an nxn array A of real positive numbers, I'm trying to find the minimum of the maximum of the element-wise minimum of all combinations of three rows of the 2-d array. Using for-loops, that comes out to something like this: