Package jline.api.lossn

Class Lossn_mci.Options

java.lang.Object
jline.api.lossn.Lossn_mci.Options
Enclosing class:
Lossn_mci
public static final class Lossn_mci.Options extends Object
Options of Lossn_mci.lossn_mci(Matrix, Matrix, Matrix, Options), mirroring the fields of the MATLAB options struct.

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    double
    alpha
    Confidence-interval significance level (default 0.05).
    Matrix
    gamma
    Importance-sampling parameters (1xR), or null for the Section 3.4 heuristic.
    Matrix
    revenue
    Revenue per call and unit time (1xR); when set, adds the revenue sensitivity.
    int
    samples
    Number of Monte Carlo samples (default 1e5).
    long
    seed
    RNG seed; a negative value draws a nondeterministic seed.

  • Constructor Summary

    Constructors
    Constructor
    Description
    Options()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    Lossn_mci.Options
    copy()
     

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Field Details

    • samples

      public int samples
      Number of Monte Carlo samples (default 1e5).

    • gamma

      public Matrix gamma
      Importance-sampling parameters (1xR), or null for the Section 3.4 heuristic.

    • seed

      public long seed
      RNG seed; a negative value draws a nondeterministic seed.

    • alpha

      public double alpha
      Confidence-interval significance level (default 0.05).

    • revenue

      public Matrix revenue
      Revenue per call and unit time (1xR); when set, adds the revenue sensitivity.

  • Constructor Details

    • Options

      public Options()

  • Method Details