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#include "NonlinearCons.hpp"
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NonlinearCons::NonlinearCons(vector<int>& theIndex, NLModel* theModel , double b, BoundType bType)
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:ConstraintBase(){
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if(theIndex.size() != theModel->getDim()){
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cout << "NonlinearCons Error: the dimension of index and the model does not match" << endl;
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exit(ERROR_CONSTRAINT);
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}
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bound = b;
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boundType = bType;
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if(bType == btEqu){
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consType = nonlinearEqu;
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}
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else{
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consType = nonlinearInequ;
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}
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index = theIndex;
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model = theModel;
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}
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NonlinearCons::NonlinearCons(int dim, vector<int>& theIndex, NLModel* theModel , double b, BoundType bType)
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:ConstraintBase(dim){
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if(dim != theModel->getDim()){
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cout << "NonlinearCons Error: the dimension of index and the model does not match" << endl;
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exit(ERROR_CONSTRAINT);
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}
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bound = b;
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boundType = bType;
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if(bType == btEqu){
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consType = nonlinearEqu;
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}
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else{
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consType = nonlinearInequ;
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}
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index = theIndex;
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model = theModel;
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}
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void NonlinearCons::setDim(int dim){
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if(dim != model->getDim()){
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cout << "NonlinearCons Error: the dimension of index and the model does not match" << endl;
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exit(ERROR_CONSTRAINT);
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}
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ConstraintBase::setDim(dim);
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}
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double NonlinearCons::calcResidual(vector<double>& x){
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double fVal;
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fVal = model->calcF(x);
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fVal -= bound;
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if(boundType == btLower)
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fVal = -fVal;
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return fVal;
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}
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vector<double> NonlinearCons::calcConsGrad(vector<double>& x){
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vector<double> consGrad(ndim);
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consGrad = model->calcGrad(x);
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if(boundType == btLower){
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for(int i = 0; i < consGrad.size(); i++)
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consGrad[i] = -consGrad[i];
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}
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return consGrad;
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}
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SymMatrix NonlinearCons::calcConsHessian(vector<double>& x){
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SymMatrix H(ndim);
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H = model->calcHessian(x);
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if(boundType == btLower){
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//H = -H;
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}
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return H;
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}
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