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Copy pathoptimization.hpp
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318 lines (247 loc) · 4.98 KB
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/*
Copyright (C) 2016 -2017 Jerry Jin
*/
#ifndef optimization_h
#define optimization_h
#include <nan.h>
#include <string>
#include <queue>
#include <utility>
#include "../quantlibxl.hpp"
#include <oh/objecthandler.hpp>
using namespace node;
using namespace v8;
using namespace std;
class EndCriteriaWorker {
public:
string mObjectID;
long mMaxIterations;
long mMaxStationaryStateIterations;
double mRootEpsilon;
double mFunctionEpsilon;
double mGradientNormEpsilon;
string mReturnValue;
string mError;
EndCriteriaWorker(
string ObjectID
, long MaxIterations
, long MaxStationaryStateIterations
, double RootEpsilon
, double FunctionEpsilon
, double GradientNormEpsilon
)
{
mObjectID = ObjectID;
mMaxIterations = MaxIterations;
mMaxStationaryStateIterations = MaxStationaryStateIterations;
mRootEpsilon = RootEpsilon;
mFunctionEpsilon = FunctionEpsilon;
mGradientNormEpsilon = GradientNormEpsilon;
};
void Execute();
};
class NoConstraintWorker {
public:
string mObjectID;
string mReturnValue;
string mError;
NoConstraintWorker(
string ObjectID
)
{
mObjectID = ObjectID;
};
void Execute();
};
class SimplexWorker {
public:
string mObjectID;
double mLambda;
string mReturnValue;
string mError;
SimplexWorker(
string ObjectID
, double Lambda
)
{
mObjectID = ObjectID;
mLambda = Lambda;
};
void Execute();
};
class LevenbergMarquardtWorker {
public:
string mObjectID;
double mEpsfcn;
double mXtol;
double mGtol;
string mReturnValue;
string mError;
LevenbergMarquardtWorker(
string ObjectID
, double Epsfcn
, double Xtol
, double Gtol
)
{
mObjectID = ObjectID;
mEpsfcn = Epsfcn;
mXtol = Xtol;
mGtol = Gtol;
};
void Execute();
};
class ConjugateGradientWorker {
public:
string mObjectID;
string mLineSearch;
string mReturnValue;
string mError;
ConjugateGradientWorker(
string ObjectID
, string LineSearch
)
{
mObjectID = ObjectID;
mLineSearch = LineSearch;
};
void Execute();
};
class SteepestDescentWorker {
public:
string mObjectID;
string mLineSearch;
string mReturnValue;
string mError;
SteepestDescentWorker(
string ObjectID
, string LineSearch
)
{
mObjectID = ObjectID;
mLineSearch = LineSearch;
};
void Execute();
};
class ArmijoLineSearchWorker {
public:
string mObjectID;
double mEpsilon;
double mAlpha;
double mBeta;
string mReturnValue;
string mError;
ArmijoLineSearchWorker(
string ObjectID
, double Epsilon
, double Alpha
, double Beta
)
{
mObjectID = ObjectID;
mEpsilon = Epsilon;
mAlpha = Alpha;
mBeta = Beta;
};
void Execute();
};
class EndCriteriaMaxIterationsWorker {
public:
string mObjectID;
long mReturnValue;
string mError;
EndCriteriaMaxIterationsWorker(
string ObjectID
)
{
mObjectID = ObjectID;
};
void Execute();
};
class EndCriteriaMaxStationaryStateIterationsWorker {
public:
string mObjectID;
long mReturnValue;
string mError;
EndCriteriaMaxStationaryStateIterationsWorker(
string ObjectID
)
{
mObjectID = ObjectID;
};
void Execute();
};
class EndCriteriaFunctionEpsilonWorker {
public:
string mObjectID;
double mReturnValue;
string mError;
EndCriteriaFunctionEpsilonWorker(
string ObjectID
)
{
mObjectID = ObjectID;
};
void Execute();
};
class EndCriteriaGradientNormEpsilonWorker {
public:
string mObjectID;
double mReturnValue;
string mError;
EndCriteriaGradientNormEpsilonWorker(
string ObjectID
)
{
mObjectID = ObjectID;
};
void Execute();
};
class SphereCylinderOptimizerClosestWorker {
public:
double mR;
double mS;
double mAlpha;
double mZ1;
double mZ2;
double mZ3;
ObjectHandler::property_t mMaxIter;
double mTol;
std::vector<double> mReturnValue;
string mError;
SphereCylinderOptimizerClosestWorker(
double R
, double S
, double Alpha
, double Z1
, double Z2
, double Z3
, ObjectHandler::property_t MaxIter
, double Tol
)
{
mR = R;
mS = S;
mAlpha = Alpha;
mZ1 = Z1;
mZ2 = Z2;
mZ3 = Z3;
mMaxIter = MaxIter;
mTol = Tol;
};
void Execute();
};
class SecondsToStringWorker {
public:
double mSeconds;
string mReturnValue;
string mError;
SecondsToStringWorker(
double Seconds
)
{
mSeconds = Seconds;
};
void Execute();
};
#endif