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npstat::RadialProfileND Class Reference
Inheritance diagram for npstat::RadialProfileND:
Detailed DescriptionDistribution defined by the interpolation table of its radial profile Constructor & Destructor Documentation◆ RadialProfileND()
template<typename Real >
"location", "scale", and "dim" are the usual multivariate density parameters which define the distribution location, scale in each dimension, and the number of dimensions. The "data" array gives density values, (d Prob)/(dx_1 ... dx_n), at equidistant radial intervals. data[0] is density at r = 0.0, and data[dataLen-1] is density at r = 1.0. If "dataLen" is less than 2, uniform distribution will be created. The total probability content will be automatically normalized to 1, so the "data" values do not have to be normalized by the user. Internally, the profile is kept in double precision. "interpolationDegree" is the order of the radial profile interpolation polynomial. It must be less than 4 and less than "dataLen". Member Function Documentation◆ classId()
Method related to "geners" I/O Implements npstat::AbsScalableDistributionND. ◆ clone()
"Virtual copy constructor" Implements npstat::AbsScalableDistributionND. ◆ isEqual()
Derived classes should override the following method as long as they have at least one additional data member. Don't forget to call "isEqual" of the base class inside the derived class. Reimplemented from npstat::AbsScalableDistributionND. ◆ mappedByQuantiles()
Is the mappling from the unit cube to the support region performed by the conditional quantile functions? Implements npstat::AbsScalableDistributionND. The documentation for this class was generated from the following file:
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