combinatoricslib 2.4

Very simple java library to generate permutations, combinations and other combinatorial sequences for Java 7+. New version of the library for (Java 8) can be found here.

1. Simple combinations
2. Combinations with repetitions (multicombination)
3. Simple permutations
4. Permutations with repetitions
5. Subsets
6. Integer Partitions
7. List Partitions
8. Integer Compositions
9. Cartesian Product
10. The latest release

You can use the following table to select a generator:

1. Simple combinations

A simple k-combination of a finite set S is a subset of k distinct elements of S. Specifying a subset does not arrange them in a particular order. As an example, a poker hand can be described as a 5-combination of cards from a 52-card deck: the 5 cards of the hand are all distinct, and the order of the cards in the hand does not matter.

Let's generate all 3-combination of the set of 5 colors (red, black, white, green, blue).

   ICombinatoricsVector<String> vector = createVector("red", "black", "white", "green", "blue");
   Generator<String> gen = createSimpleCombinationGenerator(vector, 3);
   for (ICombinatoricsVector<String> combination : gen) {
      System.out.println(combination);
   }

And the result of 10 combinations

   CombinatoricsVector=([red, black, white], size=3)
   CombinatoricsVector=([red, black, green], size=3)
   CombinatoricsVector=([red, black, blue], size=3)
   CombinatoricsVector=([red, white, green], size=3)
   CombinatoricsVector=([red, white, blue], size=3)
   CombinatoricsVector=([red, green, blue], size=3)
   CombinatoricsVector=([black, white, green], size=3)
   CombinatoricsVector=([black, white, blue], size=3)
   CombinatoricsVector=([black, green, blue], size=3)
   CombinatoricsVector=([white, green, blue], size=3)

2. Combinations with repetitions

A k-multicombination or k-combination with repetition of a finite set S is given by a sequence of k not necessarily distinct elements of S, where order is not taken into account.

As an example. Suppose there are 2 types of fruits (apple and orange) at a grocery store, and you want to buy 3 pieces of fruit. You could select

• (apple, apple, apple)
• (apple, apple, orange)
• (apple, orange, orange)
• (orange, orange, orange)

Let's generate all 3-combinations with repetitions of the set (apple, orange).

   ICombinatoricsVector<String> vector = createVector("apple", "orange");
   Generator<String> gen = createMultiCombinationGenerator(vector, 3);
   for (ICombinatoricsVector<String> combination : gen) {
      System.out.println(combination);
   }

And the result of 4 multi-combinations

   CombinatoricsVector=([apple, apple, apple], size=3)
   CombinatoricsVector=([apple, apple, orange], size=3)
   CombinatoricsVector=([apple, orange, orange], size=3)
   CombinatoricsVector=([orange, orange, orange], size=3)

3. Simple permutations

A permutation is an ordering of a set in the context of all possible orderings. For example, the set containing the first three digits, 123, has six permutations: 123, 132, 213, 231, 312, and 321.

This is an example of the permutations of 3 (apple, orange, cherry):

   ICombinatoricsVector<String> vector = CombinatoricsFactory.createVector("apple", "orange", "cherry");
   Generator<String> gen = createPermutationGenerator(vector);
   for (ICombinatoricsVector<String> perm : gen) {
      System.out.println(perm);
   }

All possible permutations:

   CombinatoricsVector=([apple, orange, cherry], size=3)
   CombinatoricsVector=([apple, cherry, orange], size=3)
   CombinatoricsVector=([cherry, apple, orange], size=3)
   CombinatoricsVector=([cherry, orange, apple], size=3)
   CombinatoricsVector=([orange, cherry, apple], size=3)
   CombinatoricsVector=([orange, apple, cherry], size=3)

The generator can produce the permutations even if the initial vector has duplicates. For example, all permutations of (1,1,2,2) are:

   ICombinatoricsVector<Integer> vector = createVector(1, 1, 2, 2);
   Generator<Integer> generator = createPermutationGenerator(vector);
   for (ICombinatoricsVector<Integer> perm : generator) {
      System.out.println(perm);
   }

The result of all possible permutations

   CombinatoricsVector=([1, 1, 2, 2], size=4)
   CombinatoricsVector=([1, 2, 1, 2], size=4)
   CombinatoricsVector=([1, 2, 2, 1], size=4)
   CombinatoricsVector=([2, 1, 1, 2], size=4)
   CombinatoricsVector=([2, 1, 2, 1], size=4)
   CombinatoricsVector=([2, 2, 1, 1], size=4)

4. Permutations with repetitions

The permutation may have more elements than slots. For example, all possible permutation of '12' in three slots are: 111, 211, 121, 221, 112, 212, 122, and 222.

Let's generate all possible permutations with repetitions of 3 elements from the set of apple and orange.

   // Create an initial vector of 2 elements (apple, orange)
   ICombinatoricsVector<String> vector = createVector("apple", "orange");
   Generator<String> gen = createPermutationWithRepetitionGenerator(vector, 3);
   for (ICombinatoricsVector<String> perm : gen) {
      System.out.println( perm );
   }

And the result of 8 permutations

   CombinatoricsVector=([apple, apple, apple], size=3)
   CombinatoricsVector=([orange, apple, apple], size=3)
   CombinatoricsVector=([apple, orange, apple], size=3)
   CombinatoricsVector=([orange, orange, apple], size=3)
   CombinatoricsVector=([apple, apple, orange], size=3)
   CombinatoricsVector=([orange, apple, orange], size=3)
   CombinatoricsVector=([apple, orange, orange], size=3)
   CombinatoricsVector=([orange, orange, orange], size=3)

5. Subsets

A set A is a subset of a set B if A is "contained" inside B. A and B may coincide. The relationship of one set being a subset of another is called inclusion or sometimes containment.

Examples:

The set (1, 2) is a proper subset of (1, 2, 3). Any set is a subset of itself, but not a proper subset. The empty set, denoted by ∅, is also a subset of any given set X. All subsets of (1, 2, 3) are:

• ()
• (1)
• (2)
• (1, 2)
• (3)
• (1, 3)
• (2, 3)
• (1, 2, 3)

And code which generates all subsets of (one, two, three)

   ICombinatoricsVector<String> set = createVector( "one", "two", "three");
   Generator<String> gen = createSubSetGenerator(set);
   for (ICombinatoricsVector<String> subSet : gen) {
      System.out.println(subSet);
   }

And the result of all possible 8 subsets

   CombinatoricsVector=([], size=0)
   CombinatoricsVector=([one], size=1)
   CombinatoricsVector=([two], size=1)
   CombinatoricsVector=([one, two], size=2)
   CombinatoricsVector=([three], size=1)
   CombinatoricsVector=([one, three], size=2)
   CombinatoricsVector=([two, three], size=2)
   CombinatoricsVector=([one, two, three], size=3)

6. Integer Partitions

In number theory, a partition of a positive integer n is a way of writing n as a sum of positive integers. Two sums that differ only in the order of their summands are considered to be the same partition; if order matters then the sum becomes a composition. A summand in a partition is also called a part.

The partitions of 5 are listed below:

• 1 + 1 + 1 + 1 + 1
• 2 + 1 + 1 + 1
• 2 + 2 + 1
• 3 + 1 + 1
• 3 + 2
• 4 + 1
• 5

The number of partitions of n is given by the partition function p(n). In number theory, the partition function p(n) represents the number of possible partitions of a natural number n, which is to say the number of distinct (and order independent) ways of representing n as a sum of natural numbers.

Let's generate all possible partitions of 5:

   Generator<Integer> partitions = createPartitionGenerator(5);
   for (ICombinatoricsVector<Integer> p : partitions) {
      System.out.println(p);
   }

And the result of all 7 integer possible partitions

   CombinatoricsVector=([1, 1, 1, 1, 1], size=5)
   CombinatoricsVector=([2, 1, 1, 1], size=4)
   CombinatoricsVector=([2, 2, 1], size=3)
   CombinatoricsVector=([3, 1, 1], size=3)
   CombinatoricsVector=([3, 2], size=2)
   CombinatoricsVector=([4, 1], size=2)
   CombinatoricsVector=([5], size=1)

7. List Partitions

It is possible to generate non-overlapping sublists of length n of a given list

For example, if a list is (A, B, B, C), then the non-overlapping sublists of length 2 will be:

• ( (A), (B, B, C) )
• ( (B, B, C), (A) )
• ( (B), (A, B, C) )
• ( (A, B, C), (B) )
• ( (A, B), (B, C) )
• ( (B, C), (A, B) )
• ( (B, B), (A, C) )
• ( (A, C), (B, B) )
• ( (A, B, B), (C) )
• ( (C), (A, B, B) )

To do that you should use an instance of the complex combination generator

   ICombinatoricsVector<String> vector = createVector "A", "B", "B", "C");
   Generator<ICombinatoricsVector<String>> gen = new ComplexCombinationGenerator<String>(vector, 2);
   for (ICombinatoricsVector<ICombinatoricsVector<String>> comb : gen) {
      System.out.println(convert2String(comb) + " - " + comb);
   }

And the result

   ([A],[B, B, C]) - CombinatoricsVector=([CombinatoricsVector=([A], size=1), CombinatoricsVector=([B, B, C], size=3)], size=2)
   ([B, B, C],[A]) - CombinatoricsVector=([CombinatoricsVector=([B, B, C], size=3), CombinatoricsVector=([A], size=1)], size=2)
   ([B],[A, B, C]) - CombinatoricsVector=([CombinatoricsVector=([B], size=1), CombinatoricsVector=([A, B, C], size=3)], size=2)
   ([A, B, C],[B]) - CombinatoricsVector=([CombinatoricsVector=([A, B, C], size=3), CombinatoricsVector=([B], size=1)], size=2)
   ([A, B],[B, C]) - CombinatoricsVector=([CombinatoricsVector=([A, B], size=2), CombinatoricsVector=([B, C], size=2)], size=2)
   ([B, C],[A, B]) - CombinatoricsVector=([CombinatoricsVector=([B, C], size=2), CombinatoricsVector=([A, B], size=2)], size=2)
   ([B, B],[A, C]) - CombinatoricsVector=([CombinatoricsVector=([B, B], size=2), CombinatoricsVector=([A, C], size=2)], size=2)
   ([A, C],[B, B]) - CombinatoricsVector=([CombinatoricsVector=([A, C], size=2), CombinatoricsVector=([B, B], size=2)], size=2)
   ([A, B, B],[C]) - CombinatoricsVector=([CombinatoricsVector=([A, B, B], size=3), CombinatoricsVector=([C], size=1)], size=2)
   ([C],[A, B, B]) - CombinatoricsVector=([CombinatoricsVector=([C], size=1), CombinatoricsVector=([A, B, B], size=3)], size=2)

8. Integer Compositions

A composition of an integer n is a way of writing n as the sum of a sequence of (strictly) positive integers. Two sequences that differ in the order of their terms define different compositions of their sum, while they are considered to define the same partition of that number (see. Integer Partitions above).

The 16 compositions of 5 are:

• 5
• 4+1
• 3+2
• 3+1+1
• 2+3
• 2+2+1
• 2+1+2
• 2+1+1+1
• 1+4
• 1+3+1
• 1+2+2
• 1+2+1+1
• 1+1+3
• 1+1+2+1
• 1+1+1+2
• 1+1+1+1+1.

Compare this with the seven partitions of 5 (see Integer Partitions above):

• 5
• 4+1
• 3+2
• 3+1+1
• 2+2+1
• 2+1+1+1
• 1+1+1+1+1.

Example. Generate all possible integer compositions of 5.

   // Create an instance of the integer composition generator to generate all possible compositions of 5
   Generator<Integer> gen = createCompositionGenerator(5);
   for (ICombinatoricsVector<Integer> p : gen) {
      System.out.println(p);
   }

And the result

   CombinatoricsVector=([5], size=1)
   CombinatoricsVector=([1, 4], size=2)
   CombinatoricsVector=([2, 3], size=2)
   CombinatoricsVector=([1, 1, 3], size=3)
   CombinatoricsVector=([3, 2], size=2)
   CombinatoricsVector=([1, 2, 2], size=3)
   CombinatoricsVector=([2, 1, 2], size=3)
   CombinatoricsVector=([1, 1, 1, 2], size=4)
   CombinatoricsVector=([4, 1], size=2)
   CombinatoricsVector=([1, 3, 1], size=3)
   CombinatoricsVector=([2, 2, 1], size=3)
   CombinatoricsVector=([1, 1, 2, 1], size=4)
   CombinatoricsVector=([3, 1, 1], size=3)
   CombinatoricsVector=([1, 2, 1, 1], size=4)
   CombinatoricsVector=([2, 1, 1, 1], size=4)
   CombinatoricsVector=([1, 1, 1, 1, 1], size=5)

9. Cartesian Product

This generator generates Cartesian product from a number of lists. Set of lists is specified in the constructor of generator to generate k-element Cartesian product, where k is the size of the set of lists.

A simple k-element Cartesian product of a finite sets S(1), S(2)...S(k) is a set of all ordered pairs (x(1), x(2)...x(k), where x(1) ∈ S(1), x(2) ∈ S(2) ... x(k) ∈ S(k)

Example. Generate the cartesian product for (1, 2), (4), (5, 6).

   ICombinatoricsVector<Integer> set01 = createVector(1, 2);
   ICombinatoricsVector<Integer> set02 = createVector(4);
   ICombinatoricsVector<Integer> set03 = createVector(5, 6);

   Generator<Integer> generator = createCartesianProductGenerator(set01, set02, set03);
   for (ICombinatoricsVector<Integer> catresianProduct : generator) {
      System.out.println(catresianProduct);
   }

The cartesian product will be:

   CombinatoricsVector=([1, 4, 5], size=3)
   CombinatoricsVector=([1, 4, 6], size=3)
   CombinatoricsVector=([2, 4, 5], size=3)
   CombinatoricsVector=([2, 4, 6], size=3)

The latest stable release - version 2.3

The latest release of the library is available through The Maven Central Repository here. Include the following section into your pom.xml file.

<dependency>
  <groupId>com.googlecode.combinatoricslib</groupId>
  <artifactId>combinatoricslib</artifactId>
  <version>2.3</version>
  <scope>compile</scope>
</dependency>