| VF_linregress | VD_linregress | VE_linregress |
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| Function | Linear regression |
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| Syntax C/C++ | #include <VFstd.h>
void VF_linregress( fVector Param, fVector X, fVector Y, ui size ); |
| C++ VecObj | #include <OptiVec.h>
void vector<T>::linregress( const vector<T>& X, const vector<T>& Y ); |
| Pascal/Delphi | uses VFstd;
procedure VF_linregress( Param, X, Y:fVector; size:UIntSize ); |
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| CUDA function C/C++ | #include <cudaVFstd.h>
int cudaVF_linregress( fVector h_Param, fVector d_X, fVector d_Y, ui size );
int cusdVF_linregress( fVector d_Param, fVector d_X, fVector d_Y, ui size );
void VF_linregress( fVector h_Param, fVector h_X, fVector h_Y, ui size );
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| CUDA function Pascal/Delphi | uses VFstd;
function cudaVF_linregress( h_Param, d_X, d_Y:fVector; size:UIntSize ): IntBool;
function cusdVF_linregress( d_Param, d_X, d_Y:fVector; size:UIntSize ): IntBool;
procedure VFcu_linregress( h_Param, h_X, h_Y:fVector; size:UIntSize );
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| Description | The X-Y data are fitted to a straight line y = ax + b; the parameters a and b are determined in such a way that the quantity
h2 = sum( (Yi - y(x=Xi) )2 )
is minimized. Uncertainties da and db are also determined. On output, Param is filled with the 5 elements {a, da, b, db, h2} in the order indicated. |
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