Class AbstractProcess<D extends Distribution>

java.lang.Object
org.ojalgo.random.process.AbstractProcess<D>
All Implemented Interfaces:
RandomProcess<D>
Direct Known Subclasses:
MultipleValuesBasedProcess, SingleValueBasedProcess
abstract class AbstractProcess<D extends Distribution> extends Object implements RandomProcess<D>

  • Constructor Details

    • AbstractProcess

      AbstractProcess()

  • Method Details

    • getExpected

      public final double getExpected()
      Equivalent to calling RandomProcess.getDistribution(double) with argumant 1.0, and then Distribution.getExpected().

    • getLowerConfidenceQuantile

      public final double getLowerConfidenceQuantile(double confidence)
      The same thing can be achieved by first calling RandomProcess.getDistribution(double) with argumant 1.0, and then ContinuousDistribution.getQuantile(double) (but with different input argument).

    • getStandardDeviation

      public final double getStandardDeviation()
      Equivalent to calling RandomProcess.getDistribution(double) with argumant 1.0, and then Distribution.getStandardDeviation().

    • getUpperConfidenceQuantile

      public final double getUpperConfidenceQuantile(double confidence)
      The same thing can be achieved by first calling RandomProcess.getDistribution(double) with argumant 1.0, and then ContinuousDistribution.getQuantile(double) (but with different input argument).

    • getVariance

      public final double getVariance()
      Equivalent to calling RandomProcess.getDistribution(double) with argumant 1.0, and then Distribution.getVariance().

    • doStep

      abstract double doStep(double stepSize, double normalisedRandomIncrement)

    • getCurrentValue

      abstract double getCurrentValue()

    • getExpected

      abstract double getExpected(double stepSize)

    • getLowerConfidenceQuantile

      abstract double getLowerConfidenceQuantile(double stepSize, double confidence)

    • getNormalisedRandomIncrement

      abstract double getNormalisedRandomIncrement()

    • getStandardDeviation

      abstract double getStandardDeviation(double stepSize)

    • getUpperConfidenceQuantile

      abstract double getUpperConfidenceQuantile(double stepSize, double confidence)

    • getVariance

      abstract double getVariance(double stepSize)

    • setCurrentValue

      abstract void setCurrentValue(double currentValue)

    • step

      final double step(double stepSize)