| VF_subV_sumabs | VD_subV_sumabs | VE_subV_sumabs |
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| Function | Subtract two vectors and calculate the sumabs merit function |
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| Syntax C/C++ | #include <VFmath.h>
float VF_subV_sumabs( fVector Z, fVector X, fVector Y, ui size ); |
| C++ VecObj | #include <OptiVec.h>
T vector<T>::subV_sumabs( const vector<T>& X, const vector<T>& Y ); |
| Pascal/Delphi | uses VFmath;
function VF_subV_sumabs( Z, X, Y:fVector; size:UIntSize ): Single; |
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| CUDA function C/C++ | #include <cudaVFmath.h>
int cudaVF_subV_sumabs( float *h_RetVal, fVector d_Z, fVector d_X, fVector d_Y, ui size );
int cusdVF_subV_sumabs( float *d_RetVal, fVector d_Z, fVector d_X, fVector d_Y, ui size );
float VFcu_subV_sumabs( fVector h_Z, fVector h_X, fVector h_Y, ui size );
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| CUDA function Pascal/Delphi | uses VFmath;
function cudaVF_subV_sumabs( var h_RetVal:Single; d_Z, d_X, d_Y:fVector; size:UIntSize ): IntBool;
function cusdVF_subV_sumabs( d_RetVal:PSingle; d_Z, d_X, d_Y:fVector; size:UIntSize ): IntBool;
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| Description | Zi = Xi - Yi
sumabs = Sum(| Zi |)
This function saturates infinities into HUGE_VAL and treats input values of ±NAN as ±HUGE_VAL. The reasoning behind this is that V?_subV_sumabs finds its main use inside nonlinear fitting routines. If the fitting routine tries a bad parameter set, you want it to get the feedback that the guess was far off; you do not want it to be punished by an exception or programme crash.
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| Return value | sumabs of the difference of the two vectors |
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