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| Function | Gaussian normal distribution function. |
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| Syntax C/C++ | #include <VFmath.h>
int VF_Gauss( fVector Y, fVector X, ui size, float Wid, float Cent, float C ); |
| C++ VecObj | #include <OptiVec.h>
int vector<T>::Gauss( const vector<T>& X, T Wid, const T& Cent, const T& C ); |
| Pascal/Delphi | uses VFmath;
function VF_Gauss( Y, X:fVector; size:UIntSize; Wid, Cent, C:Single ): IntBool; |
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| CUDA function C/C++ | #include <cudaVDstd.h>
int cudaVF_Gauss( fVector d_Y, fVector d_X, ui size, float Wid, float Cent, float C );
int cusdVF_Gauss( fVector d_Y, fVector d_X, ui size, float *d_Wid, float *d_Cent, float *d_C );
int VFcu_Gauss( fVector h_Y, fVector h_X, ui size, float Wid, float Cent, float C );
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| CUDA function Pascal/Delphi | uses VDstd;
function cudaVF_Gauss( d_Y, d_X:fVector; size:UIntSize; Wid, Cent, C:Single ): IntBool;
function cusdVF_Gauss( d_Y, d_X:fVector; size:UIntSize; d_Wid, d_Cent, d_C:PSingle ): IntBool;
function VFcu_Gauss( h_Y, h_X:fVector; size:UIntSize; Wid, Cent, C:Single ): IntBool;
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| Description | Yi = C / (Wid * sqrt(2*p)) * exp( −0.5*((Xi−Cent) / Wid)2 )
Wid = width of the distribution
Cent = center of the distribution
C is a scaling factor; for C = 1.0, the distribution is normalized.
For Wid = 0, the normal distribution is in fact a delta distribution with Y = C * INF at X = Cent and Y = 0 at all other values of X.
Since infinities are not supported, the existence of a point X = Cent will lead to a SING error in case Wid is zero. |
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| Error handling | SING errors may occur only for a Wid of zero. They are handled with the default result set to ±HUGE_VAL. |
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| Return value | FALSE (0), if no error occurred, otherwise TRUE (non-zero). |
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