class ROOT::Math::GSLMCIntegrator: public ROOT::Math::VirtualIntegratorMultiDim

 constructors
       /**
           constructor of GSL MCIntegrator using all the default options
       *
       GSLMCIntegrator( );
 constructor of GSL MCIntegrator. VEGAS MC is set as default integration type

      @param type type of integration. The possible types are defined in the MCIntegration::Type enumeration
                                        Default is VEGAS
      @param absTol desired absolute Error
      @param relTol desired relative Error
      @param calls maximum number of function calls

      NOTE: When the default values are used , the options are taken from teh static method of ROOT::Math::IntegratorMultiDimOptions

 constructor of GSL MCIntegrator. VEGAS MC is set as default integration type

      @param type type of integration using a char * (required by plug-in manager)
      @param absTol desired absolute Error
      @param relTol desired relative Error
      @param calls maximum number of function calls

          destructor

 disable copy ctrs

 template methods for generic functors

         method to set the a generic integration function

          @param f integration function. The function type must implement the assigment operator, <em>  double  operator() (  double  x ) </em>

 methods using GSLMonteFuncPointer

         evaluate the Integral of a function f over the defined hypercube (a,b)
       @param f integration function. The function type must implement the mathlib::IGenFunction interface
       @param a lower value of the integration interval
       @param b upper value of the integration interval

         evaluate the integral using the previously defined function

 to be added later
double Integral(const GSLMonteFuncPointer & f);
double Integral(GSLMonteFuncPointer f, void * p, double* a, double* b);

         return the type of the integration used

MCIntegration::Type MCType() const;

         return  the Result of the last Integral calculation

         return the estimate of the absolute Error of the last Integral calculation

         return the Error Status of the last Integral calculation

          return number of function evaluations in calculating the integral
          (This is an fixed by the user)

 setter for control Parameters  (getters are not needed so far )

         set the desired relative Error

         set the desired absolute Error

         set the integration options

	 set random number generator

	 set integration method

	 set integration method using a name instead of an enumeration

	 set integration mode for VEGAS method
         The possible MODE are :
         MCIntegration::kIMPORTANCE (default) : VEGAS will use importance sampling
         MCIntegration::kSTRATIFIED           : VEGAS will use stratified sampling  if certain condition are satisfied
         MCIntegration::kIMPORTANCE_ONLY      : VEGAS will always use importance smapling

	 set default parameters for VEGAS method

	 set default parameters for MISER method

	 set parameters for PLAIN method

void SetPParameters(const PlainParameters &p);

	 returns the error sigma from the last iteration of the Vegas algorithm

	 returns chi-squared per degree of freedom for the estimate of the integral in the Vegas algorithm

          return the type
          (need to be called GetType to avois a conflict with typedef)

          return the name

         get the specific options (for Vegas or Miser)
         in term of string-  name

 internal method to check validity of GSL function pointer

 set internally the type of integration method