Class Distributor<K>

java.lang.Object
org.jgrapht.generate.netgen.Distributor<K>
Type Parameters:
K - the element type.

public class Distributor<K>
extends java.lang.Object
Distributes value units among keys given lower and upper bound constraints.

Let's define a set of elements $\{k_1, k_2, \dots, k_n\}$. For every element a set of lower bounds $\{l_1, l_2, \dots, l_t\}$ and upper bounds $\{u_1, u_2, \dots, u_p\}$ is specified. The problem is to randomly distribute a number of abstract value units $V$ among keys such that the lower bound and upper bound constraints are satisfied. This class solves this problem.

Author:
Timofey Chudakov
See Also:
NetworkGenerator
  • Constructor Summary

    Constructors 
    Constructor Description
    Distributor()
    Creates a Distributor using random seed.
    Distributor​(long seed)
    Creates a distributor using the specified seed.
    Distributor​(java.util.Random rng)
    Creates a distributor which uses the random number generatow rng.
  • Method Summary

    Modifier and Type Method Description
    void addLowerBound​(java.util.function.Function<K,​java.lang.Integer> lowerBound)
    Adds a lower bound function.
    void addUpperBound​(java.util.function.Function<K,​java.lang.Integer> upperBound)
    Adds an upper bounding function.
    java.util.List<java.lang.Integer> getDistribution​(java.util.List<K> keys, int valueNum)
    Computes and returns a value distribution for the list of keys.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  • Constructor Details

    • Distributor

      public Distributor()
      Creates a Distributor using random seed.
    • Distributor

      public Distributor​(long seed)
      Creates a distributor using the specified seed.
      Parameters:
      seed - the seed for the random number generator.
    • Distributor

      public Distributor​(java.util.Random rng)
      Creates a distributor which uses the random number generatow rng.
      Parameters:
      rng - a random number generator to use.
  • Method Details

    • addUpperBound

      public void addUpperBound​(java.util.function.Function<K,​java.lang.Integer> upperBound)
      Adds an upper bounding function. This function must be defined for all keys.
      Parameters:
      upperBound - an upper bound function.
    • addLowerBound

      public void addLowerBound​(java.util.function.Function<K,​java.lang.Integer> lowerBound)
      Adds a lower bound function. This function must be defined for all keys.
      Parameters:
      lowerBound - a lower bound function.
    • getDistribution

      public java.util.List<java.lang.Integer> getDistribution​(java.util.List<K> keys, int valueNum)
      Computes and returns a value distribution for the list of keys. The resulting distribution will satisfy the (possibly empty) sets of lower and upper bound constraints. Distributed values will be in the same order as the keys in the key list.
      Parameters:
      keys - the list of keys.
      valueNum - the number of abstract value units to distribute.
      Returns:
      the computed value distribution.