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author | Harpreet | 2015-10-20 14:23:25 +0530 |
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committer | Harpreet | 2015-10-20 14:23:25 +0530 |
commit | e4b59ea62dd9903445375c2aa1f52a52c5eab99f (patch) | |
tree | d761e8819990b031344e58c9016562bea157c05b /sci_gateway/cpp/QuadNLP.hpp~ | |
parent | e34332a406e4f3fba9b99c6f9ec5138edfcc6aa2 (diff) | |
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qpipopt_mat added
Diffstat (limited to 'sci_gateway/cpp/QuadNLP.hpp~')
-rw-r--r-- | sci_gateway/cpp/QuadNLP.hpp~ | 131 |
1 files changed, 131 insertions, 0 deletions
diff --git a/sci_gateway/cpp/QuadNLP.hpp~ b/sci_gateway/cpp/QuadNLP.hpp~ new file mode 100644 index 0000000..f47ab4d --- /dev/null +++ b/sci_gateway/cpp/QuadNLP.hpp~ @@ -0,0 +1,131 @@ +/* + * Quadratic Programming Toolbox for Scilab using IPOPT library + * Authors : + Sai Kiran + Keyur Joshi + Iswarya + + + * Optimizing (minimizing) the quadratic objective function having any number of variables and linear constraints. + * +*/ + +#ifndef __QuadNLP_HPP__ +#define __QuadNLP_HPP__ + +#include "IpTNLP.hpp" +extern "C"{ +#include <sciprint.h> + +} +using namespace Ipopt; + +class QuadNLP : public TNLP +{ + private: + Index numVars_; // Number of variables. + + Index numConstr_; // Number of constraints. + + const Number *qMatrix_ = NULL; //qMatrix_ is a pointer to matrix of size numVars X numVars_ + // with coefficents of quadratic terms in objective function. + + const Number *lMatrix_ = NULL;//lMatrix_ is a pointer to matrix of size 1*numVars_ + // with coefficents of linear terms in objective function. + + const Number *conMatrix_ = NULL;//conMatrix_ is a pointer to matrix of size numConstr X numVars + // with coefficients of terms in a each objective in each row. + + const Number *conUB_= NULL; //conUB_ is a pointer to a matrix of size of 1*numConstr_ + // with upper bounds of all constraints. + + const Number *conLB_; //conLB_ is a pointer to a matrix of size of 1*numConstr_ + // with lower bounds of all constraints. + + const Number *varUB_; //varUB_ is a pointer to a matrix of size of 1*numVar_ + // with upper bounds of all variables. + + const Number *varLB_; //varLB_ is a pointer to a matrix of size of 1*numVar_ + // with lower bounds of all variables. + + Number *finalX_; //finalX_ is a pointer to a matrix of size of 1*numVar_ + // with final value for the primal variables. + + Number *finalZl_; //finalZl_ is a pointer to a matrix of size of 1*numVar_ + // with final values for the lower bound multipliers + + Number *finalZu_; //finalZu_ is a pointer to a matrix of size of 1*numVar_ + // with final values for the upper bound multipliers + + Number *finalLambda_; //finalLambda_ is a pointer to a matrix of size of 1*numConstr_ + // with final values for the upper bound multipliers + + Number finalObjVal_; //finalObjVal_ is a scalar with the final value of the objective. + + int iter_; //Number of iteration. + + int status_; //Solver return status + + QuadNLP(const QuadNLP&); + QuadNLP& operator=(const QuadNLP&); + public: + /* + * Constructor + */ + QuadNLP(Index nV, Index nC, Number *qM, Number *lM, Number *cM, Number *cUB, Number *cLB, Number *vUB, Number *vLB): + numVars_(nV),numConstr_(nC),qMatrix_(qM),lMatrix_(lM),conMatrix_(cM),conUB_(cUB),conLB_(cLB),varUB_(vUB),varLB_(vLB),finalX_(0), finalZl_(0), finalZu_(0), finalObjVal_(1e20){ } + + + /* Go to : + + http://www.coin-or.org/Ipopt/documentation/node23.html#SECTION00053130000000000000 + For details about these below methods. + */ + virtual ~QuadNLP(); + virtual bool get_nlp_info(Index& n, Index& m, Index& nnz_jac_g, + Index& nnz_h_lag, IndexStyleEnum& index_style); + virtual bool get_bounds_info(Index n, Number* x_l, Number* x_u, + Index m, Number* g_l, Number* g_u); + virtual bool get_starting_point(Index n, bool init_x, Number* x, + bool init_z, Number* z_L, Number* z_U, + Index m, bool init_lambda, + Number* lambda); + virtual bool eval_f(Index n, const Number* x, bool new_x, Number& obj_value); + virtual bool eval_grad_f(Index n, const Number* x, bool new_x, Number* grad_f); + virtual bool eval_g(Index n, const Number* x, bool new_x, Index m, Number* g); + virtual bool eval_jac_g(Index n, const Number* x, bool new_x, + Index m, Index nele_jac, Index* iRow, Index *jCol, + Number* values); + virtual bool eval_h(Index n, const Number* x, bool new_x, + Number obj_factor, Index m, const Number* lambda, + bool new_lambda, Index nele_hess, Index* iRow, + Index* jCol, Number* values); + virtual void finalize_solution(SolverReturn status, + Index n, const Number* x, const Number* z_L, const Number* z_U, + Index m, const Number* g, const Number* lambda, Number obj_value, + const IpoptData* ip_data, + IpoptCalculatedQuantities* ip_cq); + + const double * getX(); //Returns a pointer to a matrix of size of 1*numVar + // with final value for the primal variables. + + const double * getZu(); //Returns a pointer to a matrix of size of 1*numVars + // with final values for the upper bound multipliers + + const double * getZl(); //Returns a pointer to a matrix of size of 1*numVars + // with final values for the upper bound multipliers + + const double * getLambda(); //Returns a pointer to a matrix of size of 1*numConstr + // with final values for the constraint multipliers + + + double getObjVal(); //Returns the output of the final value of the objective. + + double iterCount(); //Returns the iteration count + + int returnStatus(); //Returns the status count + + +}; + +#endif __QuadNLP_HPP__ |