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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 EndCriteria {
private transient long swigCPtr;
protected transient boolean swigCMemOwn;
protected EndCriteria(long cPtr, boolean cMemoryOwn) {
swigCMemOwn = cMemoryOwn;
swigCPtr = cPtr;
}
protected static long getCPtr(EndCriteria obj) {
return (obj == null) ? 0 : obj.swigCPtr;
}
protected void finalize() {
delete();
}
public synchronized void delete() {
if (swigCPtr != 0) {
if (swigCMemOwn) {
swigCMemOwn = false;
QuantLibJNI.delete_EndCriteria(swigCPtr);
}
swigCPtr = 0;
}
}
public EndCriteria(long maxIteration, long maxStationaryStateIterations, double rootEpsilon, double functionEpsilon, double gradientNormEpsilon) {
this(QuantLibJNI.new_EndCriteria(maxIteration, maxStationaryStateIterations, rootEpsilon, functionEpsilon, gradientNormEpsilon), true);
}
public boolean getValue(long iteration, SWIGTYPE_p_std__size_t statState, boolean positiveOptimization, double fold, double normgold, double fnew, double normgnewx, SWIGTYPE_p_EndCriteria__Type ecType) {
return QuantLibJNI.EndCriteria_getValue(swigCPtr, this, iteration, SWIGTYPE_p_std__size_t.getCPtr(statState), positiveOptimization, fold, normgold, fnew, normgnewx, SWIGTYPE_p_EndCriteria__Type.getCPtr(ecType));
}
public final static class Type {
public final static EndCriteria.Type None = new EndCriteria.Type("None");
public final static EndCriteria.Type MaxIterations = new EndCriteria.Type("MaxIterations");
public final static EndCriteria.Type StationaryPoint = new EndCriteria.Type("StationaryPoint");
public final static EndCriteria.Type StationaryFunctionValue = new EndCriteria.Type("StationaryFunctionValue");
public final static EndCriteria.Type StationaryFunctionAccuracy = new EndCriteria.Type("StationaryFunctionAccuracy");
public final static EndCriteria.Type ZeroGradientNorm = new EndCriteria.Type("ZeroGradientNorm");
public final static EndCriteria.Type Unknown = new EndCriteria.Type("Unknown");
public final int swigValue() {
return swigValue;
}
public String toString() {
return swigName;
}
public static Type swigToEnum(int swigValue) {
if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue)
return swigValues[swigValue];
for (int i = 0; i < swigValues.length; i++)
if (swigValues[i].swigValue == swigValue)
return swigValues[i];
throw new IllegalArgumentException("No enum " + Type.class + " with value " + swigValue);
}
private Type(String swigName) {
this.swigName = swigName;
this.swigValue = swigNext++;
}
private Type(String swigName, int swigValue) {
this.swigName = swigName;
this.swigValue = swigValue;
swigNext = swigValue+1;
}
private Type(String swigName, Type swigEnum) {
this.swigName = swigName;
this.swigValue = swigEnum.swigValue;
swigNext = this.swigValue+1;
}
private static Type[] swigValues = { None, MaxIterations, StationaryPoint, StationaryFunctionValue, StationaryFunctionAccuracy, ZeroGradientNorm, Unknown };
private static int swigNext = 0;
private final int swigValue;
private final String swigName;
}
}
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