001/* ----------------------------------------------------------------------------
002 * This file was automatically generated by SWIG (https://www.swig.org).
003 * Version 4.1.1
004 *
005 * Do not make changes to this file unless you know what you are doing - modify
006 * the SWIG interface file instead.
007 * ----------------------------------------------------------------------------- */
008
009package org.quantlib;
010
011public class MCPRAmericanBasketEngine extends PricingEngine implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable {
012  private transient long swigCPtr;
013  private transient boolean swigCMemOwnDerived;
014
015  protected MCPRAmericanBasketEngine(long cPtr, boolean cMemoryOwn) {
016    super(QuantLibJNI.MCPRAmericanBasketEngine_SWIGSmartPtrUpcast(cPtr), true);
017    swigCMemOwnDerived = cMemoryOwn;
018    swigCPtr = cPtr;
019  }
020
021  protected static long getCPtr(MCPRAmericanBasketEngine obj) {
022    return (obj == null) ? 0 : obj.swigCPtr;
023  }
024
025  protected void swigSetCMemOwn(boolean own) {
026    swigCMemOwnDerived = own;
027    super.swigSetCMemOwn(own);
028  }
029
030  @SuppressWarnings("deprecation")
031  protected void finalize() {
032    delete();
033  }
034
035  public synchronized void delete() {
036    if (swigCPtr != 0) {
037      if (swigCMemOwnDerived) {
038        swigCMemOwnDerived = false;
039        QuantLibJNI.delete_MCPRAmericanBasketEngine(swigCPtr);
040      }
041      swigCPtr = 0;
042    }
043    super.delete();
044  }
045
046  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long nCalibrationSamples, long polynomOrder, LsmBasisSystem.PolynomialType polynomType) {
047    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_0(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, nCalibrationSamples, polynomOrder, polynomType.swigValue()), true);
048  }
049
050  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long nCalibrationSamples, long polynomOrder) {
051    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_1(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, nCalibrationSamples, polynomOrder), true);
052  }
053
054  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long nCalibrationSamples) {
055    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_2(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, nCalibrationSamples), true);
056  }
057
058  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed) {
059    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_3(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed), true);
060  }
061
062  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples) {
063    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_4(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples), true);
064  }
065
066  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance) {
067    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_5(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance), true);
068  }
069
070  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples) {
071    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_6(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples), true);
072  }
073
074  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate) {
075    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_7(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate), true);
076  }
077
078  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear, boolean brownianBridge) {
079    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_8(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear, brownianBridge), true);
080  }
081
082  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps, int timeStepsPerYear) {
083    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_9(StochasticProcessArray.getCPtr(process), process, timeSteps, timeStepsPerYear), true);
084  }
085
086  public MCPRAmericanBasketEngine(StochasticProcessArray process, int timeSteps) {
087    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_10(StochasticProcessArray.getCPtr(process), process, timeSteps), true);
088  }
089
090  public MCPRAmericanBasketEngine(StochasticProcessArray process) {
091    this(QuantLibJNI.new_MCPRAmericanBasketEngine__SWIG_11(StochasticProcessArray.getCPtr(process), process), true);
092  }
093
094}