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/* ----------------------------------------------------------------------------
* This file was automatically generated by SWIG (http://www.swig.org).
* Version 1.3.33
*
* Do not make changes to this file unless you know what you are doing--modify
* the SWIG interface file instead.
* ----------------------------------------------------------------------------- */
namespace QuantLib {
using System;
using System.Runtime.InteropServices;
public class EndCriteria : IDisposable {
private HandleRef swigCPtr;
protected bool swigCMemOwn;
internal EndCriteria(IntPtr cPtr, bool cMemoryOwn) {
swigCMemOwn = cMemoryOwn;
swigCPtr = new HandleRef(this, cPtr);
}
internal static HandleRef getCPtr(EndCriteria obj) {
return (obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr;
}
~EndCriteria() {
Dispose();
}
public virtual void Dispose() {
lock(this) {
if(swigCPtr.Handle != IntPtr.Zero && swigCMemOwn) {
swigCMemOwn = false;
NQuantLibcPINVOKE.delete_EndCriteria(swigCPtr);
}
swigCPtr = new HandleRef(null, IntPtr.Zero);
GC.SuppressFinalize(this);
}
}
public EndCriteria(uint maxIteration, uint maxStationaryStateIterations, double rootEpsilon, double functionEpsilon, double gradientNormEpsilon) : this(NQuantLibcPINVOKE.new_EndCriteria(maxIteration, maxStationaryStateIterations, rootEpsilon, functionEpsilon, gradientNormEpsilon), true) {
if (NQuantLibcPINVOKE.SWIGPendingException.Pending) throw NQuantLibcPINVOKE.SWIGPendingException.Retrieve();
}
public bool call(uint iteration, SWIGTYPE_p_std__size_t statState, bool positiveOptimization, double fold, double normgold, double fnew, double normgnewx, SWIGTYPE_p_EndCriteria__Type ecType) {
bool ret = NQuantLibcPINVOKE.EndCriteria_call(swigCPtr, iteration, SWIGTYPE_p_std__size_t.getCPtr(statState), positiveOptimization, fold, normgold, fnew, normgnewx, SWIGTYPE_p_EndCriteria__Type.getCPtr(ecType));
if (NQuantLibcPINVOKE.SWIGPendingException.Pending) throw NQuantLibcPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public enum Type {
None,
MaxIterations,
StationaryPoint,
StationaryFunctionValue,
StationaryFunctionAccuracy,
ZeroGradientNorm,
Unknown
}
}
}
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