Boost Graph Library: Erdös-Renyi Generator

`sorted_erdos_renyi_iterator`

    template<typename RandomGenerator, typename Graph>
    class sorted_erdos_renyi_iterator
    {
    public:
      typedef std::input_iterator_tag iterator_category;
      typedef std::pair<vertices_size_type, vertices_size_type> value_type;
      typedef const value_type& reference;
      typedef const value_type* pointer;
      typedef void difference_type;

      sorted_erdos_renyi_iterator();
      sorted_erdos_renyi_iterator(RandomGenerator& gen, vertices_size_type n,
                                  double probability = 0.0, bool allow_self_loops = false);

      // Iterator operations
      reference operator*() const;
      pointer operator->() const;
      sorted_erdos_renyi_iterator& operator++();
      sorted_erdos_renyi_iterator operator++(int);
      bool operator==(const sorted_erdos_renyi_iterator& other) const;
      bool operator!=(const sorted_erdos_renyi_iterator& other) const;
    };

This class template implements a generator for Erdös-Renyi graphs, suitable for initializing an `adjacency_list` or other graph structure with iterator-based initialization. An Erdös-Renyi graph G = (n, p) is a graph with n vertices that. The probability of having an edge (u, v) in G is p for any vertices u and v. Typically, there are no self-loops, but the generator can optionally introduce self-loops with probability p.

Erdös-Renyi graphs typically exhibit very little structure. For this reason, they are rarely useful in modeling real-world problems. However, they are often used when determining the theoretical complexity of complex graph algorithms.

### Where Defined

`boost/graph/erdos_renyi_generator.hpp`

### Constructors

    sorted_erdos_renyi_iterator();

> Constructs a past-the-end iterator.

    sorted_erdos_renyi_iterator(RandomGenerator& gen, vertices_size_type n,
                                double probability = 0.0, bool allow_self_loops = false);

> Constructs an Erdös-Renyi generator iterator that creates a graph with `n` vertices and a given `probability` of the total number of edges that a simple graph may have. `probability`. Random vertices and edges are selected using the random number generator `gen`. Self-loops are permitted only when `allow_self_loops` is `true`.

### Example

    #include <boost/graph/adjacency_list.hpp>
    #include <boost/graph/erdos_renyi_generator.hpp>
    #include <boost/random/linear_congruential.hpp>

    typedef boost::adjacency_list<> Graph;
    typedef boost::sorted_erdos_renyi_iterator<boost::minstd_rand, Graph> ERGen;

    int main()
    {
      boost::minstd_rand gen;
      // Create graph with 100 nodes and edges with probability 0.05
      Graph g(ERGen(gen, 100, 0.05), ERGen(), 100);
      return 0;
    }

Copyright © 2005 | Jeremiah Willcock, Indiana University ( ) Doug Gregor, Indiana University ( ) Andrew Lumsdaine, Indiana University ( )