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#define _NLMODEL_H_ |
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#include <vector> |
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#include <utility> |
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#include "SymMatrix.hpp" |
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#include "Functor.hpp" |
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using namespace std; |
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typedef enum FDType {backward, forward, central} ; |
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typedef enum {linear, quadratic, general}; |
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// special property of nonlinear object function |
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typedef enum NLOFProp{linear, quadratic, general}; |
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//abstract class of nonlinear optimization model |
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class NLModel{ |
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#ifdef IS_MPI |
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void setMPIINITFunctor(MPIINITFunctor* func); |
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int getLocalDim() {return localDim;} |
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virtual void update(); //a hook function to load balancing |
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#endif |
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protected: |
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#ifdef IS_MPI |
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bool mpiInitFlag; |
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int myRank; //rank of current node |
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int numOfProc; // number of processors |
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MPIINITFunctor * mpiInitFunc; |
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int localDim; |
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vector<int> procMappingArray; |
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int beginGlobalIndex; |
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#endif |
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}; |
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//Using finite difference methods to approximate the hessian |
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//It is inappropriate to apply this method in large scale problem |
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virtual SymMatrix FDHessian(vector<double>& sx); |
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virtual SymMatrix FiniteHessian(vector<double>& sx); |
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FDType fdType; |
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vector<double> currentX; |
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//Using finite difference methods to approximate the hessian |
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//It is inappropriate to apply this method in large scale problem |
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virtual SymMatrix FDHessian(vector<double>& sx); |
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virtual SymMatrix ForwardHessian(vector<double>& sx); |
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protected: |
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vector<double> currentGrad; |
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}; |
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class NLF1 : NLModel1{ |
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//concrete class of nonlinear optimization model with first derivatives |
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class ConcreteNLMode1 : NLModel1{ |
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public: |
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NLModel1(int dim, ObjFunctor1* func , ConstraintList* cons = NULL); |
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NLModel1(int dim, ConstraintList* cons = NULL); |
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ConcreteNLMode1(int dim, ObjFunctor1* func , ConstraintList* cons = NULL); |
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ConcreteNLMode1(int dim, ConstraintList* cons = NULL); |
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virtual double calcF(); |
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virtual double calcF(const vector<double>& x); |
