VF_meanvar VD_meanvar VE_meanvar
 Function Mean and variance of a one-dimensional distribution
 Syntax C/C++ #include float VF_meanvar( float *Var, fVector X, ui size ); C++ VecObj #include T vector::meanvar( T *Var ); Pascal/Delphi uses VFstd; function VF_meanvar( var Variance:Single; X:fVector; size:UIntSize ): Single;
 CUDA function C/C++ #include int cudaVF_meanvar( float *h_RetValMean, float *h_RetValVariance, fVector d_X, ui size ); int cusdVF_meanvar( float *d_RetValMean, float *d_RetValVariance, fVector d_X, ui size ); float VFcu_meanvar( float *h_RetValVariance, fVector h_X, ui size ); CUDA function Pascal/Delphi uses VFstd; function cudaVF_meanvar( var h_RetValMean, h_RetValVariance:Single; d_X:fVector; size:UIntSize ): IntBool; function cusdVF_meanvar( d_RetValMean, d_RetValVariance:PSingle; d_X:fVector; size:UIntSize ): IntBool; function VFcu_meanvar( h_X:fVector; size:UIntSize ): Single;
 Description mean = (1 / size) * sum( Xi ) var = (1 / (size-1)) * sum( (Xi - mean)2 ) Note that the denominator in the definition of var is size-1, whereas, in the routine VF_varianceC, it is simply size.The reason for that difference is that here the mean is calculated first and then the variance is determined using this value, whereas in VF_varianceC, the parameter C is pre-set. The mean is returned and the variance stored at the address passed as "Var" (C/C++), or in the variable "variance" (Pascal/Delphi).
 Error handling In the case of size=1, the variance (which should be infinitely large) is set to HUGE_VAL.
 Return value mean of the vector elements.