Class OptQuestModel.SampleMethod

java.lang.Object
com.opttek.optquest.OptQuestModel.SampleMethod
Enclosing class:
OptQuestModel

public static class OptQuestModel.SampleMethod extends Object
Constants for sampling methods used with adaptive sampling and surrogate modeling. Values are bitwise flags that can be combined with OptQuestModel.SetSampleMethod(int).
  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final int
    Enable asynchronous sampling.
    static final int
    Enable dynamic sampling.
    static final int
    Gradient sampling.
    static final int
    Maximum-value sampling.
    static final int
    Minimum-value sampling.
    static final int
    Response Distribution Sampling (RDS).
    static final int
    Enable stochastic sampling.
    static final int
    Stochastic, asynchronous gradient sampling.
    static final int
    Stochastic, asynchronous maximum-value sampling.
    static final int
    Stochastic, asynchronous minimum-value sampling.
    static final int
    Stochastic, asynchronous Response Distribution Sampling.
    static final int
    Stochastic, asynchronous uniform sampling.
    static final int
    Stochastic, asynchronous variance-based sampling.
    static final int
    Stochastic, asynchronous zero sampling.
    static final int
    Uniform sampling.
    static final int
    Variance-based sampling.
    static final int
    Zero sampling.
  • Constructor Summary

    Constructors
    Constructor
    Description
     
  • Method Summary

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  • Field Details

    • Stochastic

      public static final int Stochastic
      Enable stochastic sampling.
      See Also:
    • Dynamic

      public static final int Dynamic
      Enable dynamic sampling.
      See Also:
    • Async

      public static final int Async
      Enable asynchronous sampling.
      See Also:
    • Variance

      public static final int Variance
      Variance-based sampling.
      See Also:
    • Uniform

      public static final int Uniform
      Uniform sampling.
      See Also:
    • Zero

      public static final int Zero
      Zero sampling.
      See Also:
    • Gradient

      public static final int Gradient
      Gradient sampling.
      See Also:
    • Min

      public static final int Min
      Minimum-value sampling.
      See Also:
    • Max

      public static final int Max
      Maximum-value sampling.
      See Also:
    • RDS

      public static final int RDS
      Response Distribution Sampling (RDS).
      See Also:
    • StochasticVariance

      public static final int StochasticVariance
      Stochastic, asynchronous variance-based sampling.
      See Also:
    • StochasticUniform

      public static final int StochasticUniform
      Stochastic, asynchronous uniform sampling.
      See Also:
    • StochasticZero

      public static final int StochasticZero
      Stochastic, asynchronous zero sampling.
      See Also:
    • StochasticGradient

      public static final int StochasticGradient
      Stochastic, asynchronous gradient sampling.
      See Also:
    • StochasticMin

      public static final int StochasticMin
      Stochastic, asynchronous minimum-value sampling.
      See Also:
    • StochasticMax

      public static final int StochasticMax
      Stochastic, asynchronous maximum-value sampling.
      See Also:
    • StochasticRDS

      public static final int StochasticRDS
      Stochastic, asynchronous Response Distribution Sampling.
      See Also:
  • Constructor Details

    • SampleMethod

      public SampleMethod()