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/* ----------------------------------------------------------------------------
* This file was automatically generated by SWIG (http://www.swig.org).
* Version 3.0.12
*
* Do not make changes to this file unless you know what you are doing--modify
* the SWIG interface file instead.
* ----------------------------------------------------------------------------- */
package org.quantlib;
public class MCAmericanBasketEngine extends PricingEngine {
private transient long swigCPtr;
protected MCAmericanBasketEngine(long cPtr, boolean cMemoryOwn) {
super(QuantLibJNI.MCAmericanBasketEngine_SWIGUpcast(cPtr), cMemoryOwn);
swigCPtr = cPtr;
}
protected static long getCPtr(MCAmericanBasketEngine obj) {
return (obj == null) ? 0 : obj.swigCPtr;
}
protected void finalize() {
delete();
}
public synchronized void delete() {
if (swigCPtr != 0) {
if (swigCMemOwn) {
swigCMemOwn = false;
QuantLibJNI.delete_MCAmericanBasketEngine(swigCPtr);
}
swigCPtr = 0;
}
super.delete();
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long polynomOrder, LsmBasisSystem.PolynomType polynomType, long nCalibrationSamples) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_0(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, polynomOrder, polynomType.swigValue(), nCalibrationSamples), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long polynomOrder, LsmBasisSystem.PolynomType polynomType) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_1(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, polynomOrder, polynomType.swigValue()), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed, long polynomOrder) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_2(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed, polynomOrder), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples, int seed) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_3(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples, seed), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance, int maxSamples) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_4(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance, maxSamples), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples, double requiredTolerance) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_5(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples, requiredTolerance), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate, int requiredSamples) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_6(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate, requiredSamples), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge, boolean antitheticVariate) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_7(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge, antitheticVariate), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear, boolean brownianBridge) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_8(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear, brownianBridge), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps, long timeStepsPerYear) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_9(StochasticProcessArray.getCPtr(process), process, traits, timeSteps, timeStepsPerYear), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits, long timeSteps) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_10(StochasticProcessArray.getCPtr(process), process, traits, timeSteps), true);
}
public MCAmericanBasketEngine(StochasticProcessArray process, String traits) {
this(QuantLibJNI.new_MCAmericanBasketEngine__SWIG_11(StochasticProcessArray.getCPtr(process), process, traits), true);
}
}
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