Package org.evoludo.simulator.models

Interface Continuous

All Known Implementing Classes:
IBSC
public interface Continuous
Common interface for all models with continuous strategy sets.

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    get2DTraitHistogramData(int id, double[] bins, int trait1, int trait2)
    Gets the histogram of the trait distribution for the traits of the Module.
    double
    getMaxMonoScore(int id)
    Calculates and returns maximum score in monomorphic population.
    double
    getMinMonoScore(int id)
    Calculates and returns minimum score in monomorphic population.
    void
    getTraitHistogramData(int id, double[][] bins)
    Gets the histogram of the trait distributions and returns the data in an array bins, where the first index denotes the trait (in case there are multiple) and the second index refers to the bins in the histogram.
    double[]
    getTraitMax(int id)
    Gets the maximum trait values in this module.
    double[]
    getTraitMin(int id)
    Gets the minimum trait values in this module.

  • Method Details

    • getTraitMin

      double[] getTraitMin(int id)
      Gets the minimum trait values in this module.
      Parameters:
      id - the id of the population for multi-species models
      Returns:
      the array with the minimum trait values

    • getTraitMax

      double[] getTraitMax(int id)
      Gets the maximum trait values in this module.
      Parameters:
      id - the id of the population for multi-species models
      Returns:
      the array with the maximum trait values

    • getMinMonoScore

      double getMinMonoScore(int id)
      Calculates and returns minimum score in monomorphic population. This depends on the payoff accounting (averaged versus accumulated) as well as the Geometry. Since modules are agnostic of runtime details, the request is simply forwarded to the current Model together with the species ID for multi-species modules.
      Parameters:
      id - the id of the population for multi-species models
      Returns:
      the minimum monomorphic score

    • getMaxMonoScore

      double getMaxMonoScore(int id)
      Calculates and returns maximum score in monomorphic population. This depends on the payoff accounting (averaged versus accumulated) as well as the Geometry. Since modules are agnostic of runtime details, the request is simply forwarded to the current Model together with the species ID for multi-species modules.
      Parameters:
      id - the id of the population for multi-species models
      Returns:
      the maximum monomorphic score

    • getTraitHistogramData

      void getTraitHistogramData(int id, double[][] bins)
      Gets the histogram of the trait distributions and returns the data in an array bins, where the first index denotes the trait (in case there are multiple) and the second index refers to the bins in the histogram.

      This is a helper method to forward the request to the appropriate IBSMCPopulation (for multiple traits) or IBSCPopulation (for single traits).

      Parameters:
      id - the id of the population for multi-species models
      bins - the 2D data array for storing the histogram

    • get2DTraitHistogramData

      void get2DTraitHistogramData(int id, double[] bins, int trait1, int trait2)
      Gets the histogram of the trait distribution for the traits of the Module. For modules with multiple traits a 2D histogram is generated for traits trait1 and trait2. The histogram is returned in the linear array bins and arranged in a way that is compatible with square lattice geometries for visualization by Distribution (GWT only). For modules with a single trait only, trait1 and trait2 are ignored.
      Parameters:
      id - the id of the population for multi-species models
      bins - the data array for storing the histogram
      trait1 - the index of the first trait (horizontal axis)
      trait2 - the index of the second trait (vertical axis)
      See Also: