Preparation for pull request

Additional cleaning for simplex method, removing the parts that are
currently unused. Removing developer's notes. Trying to reach production
level.

modules/optim/include/opencv2/optim.hpp

@@ -52,63 +52,6 @@
 
 namespace cv{namespace optim
 {
-//! generic class for optimization algorithms */
-class CV_EXPORTS Solver : public Algorithm /* Algorithm is the base OpenCV class */
-{
-    public:
-    class CV_EXPORTS Function
-    {
-    public:
-        virtual ~Function(){}
-        virtual double calc(InputArray args) const = 0;
-    };
-    class CV_EXPORTS Constraints
-    {
-    public:
-        virtual ~Constraints(){}
-    };
-
-    //! could be reused for all the generic algorithms like downhill simplex. Return value is the maximum value of a function*/
-    virtual double solve(const Function& F,const Constraints& C, OutputArray result) const = 0;
-
-    /*virtual void setTermCriteria(const TermCriteria& criteria) = 0;
-    virtual TermCriteria getTermCriteria() = 0;*/
-
-    // more detailed API to be defined later ...
-};
-
-class CV_EXPORTS LPSolver : public Solver
-{
-public:
-    class CV_EXPORTS LPFunction:public Solver::Function
-    {
-        Mat z;
-    public:
-        //! Note, that this class is supposed to be immutable, so it's ok to make only a shallow copy of z_in.*/
-        LPFunction(Mat z_in):z(z_in){}
-        ~LPFunction(){};
-        const Mat& getz()const{return z;}
-        double calc(InputArray args)const;
-    };
-
-    //!This class represents constraints for linear problem. There are two matrix stored: m-by-n matrix A and n-by-1 column-vector b.
-    //!What this represents is the set of constraints Ax\leq b and x\geq 0. It can be shown that any set of linear constraints can be converted
-    //!this form and **we shall create various constructors for this class that will perform these conversions**.
-    class CV_EXPORTS LPConstraints:public Solver::Constraints
-    {
-        Mat A,b;
-    public:
-        ~LPConstraints(){};
-        //! Note, that this class is supposed to be immutable, so it's ok to make only a shallow copy of A_in and b_in.*/
-        LPConstraints(Mat A_in, Mat b_in):A(A_in),b(b_in){}
-        const Mat& getA()const{return A;}
-        const Mat& getb()const{return b;}
-    };
-
-    LPSolver(){}
-    double solve(const Function& F,const Constraints& C, OutputArray result)const;
-};
-
 //!the return codes for solveLP() function
 enum
 {