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Hierarchy

  • MakeMCAmericanEngine

Implements

Index

Constructors

constructor

  • Parameters

    • Default value RNG: rng_traits = new PseudoRandom()
    • Default value S: any = new RiskStatistics()
    • Default value RNG_Calibration: rng_traits = RNG

    Returns MakeMCAmericanEngine

Properties

RNG

RNG_Calibration

RNG_Calibration: rng_traits

S

S: any

Private _antithetic

_antithetic: boolean

Private _antitheticCalibration

_antitheticCalibration: boolean

Private _calibrationSamples

_calibrationSamples: Size

Private _controlVariate

_controlVariate: boolean

Private _maxSamples

_maxSamples: Size

Private _polynomOrder

_polynomOrder: Size

Private _polynomType

_polynomType: PolynomType

Private _process

Private _samples

_samples: Size

Private _seed

_seed: BigNatural

Private _seedCalibration

_seedCalibration: BigNatural

Private _steps

_steps: Size

Private _stepsPerYear

_stepsPerYear: Size

Private _tolerance

_tolerance: Real

Methods

f

mmcaeInit

withAbsoluteTolerance

withAntitheticVariate

  • Parameters

    • Default value b: boolean = true

    Returns MakeMCAmericanEngine

withAntitheticVariateCalibration

  • Parameters

    • Default value b: boolean = true

    Returns MakeMCAmericanEngine

withBasisSystem

withCalibrationSamples

withControlVariate

  • Parameters

    • Default value b: boolean = true

    Returns MakeMCAmericanEngine

withMaxSamples

withPolynomOrder

  • Parameters

    Returns MakeMCAmericanEngine

withSamples

withSeed

withSeedCalibration

withSteps

withStepsPerYear