gsl_fit_linear# Computation - 科学计算
x*l
1 楼
里面这个stride什么意思？
Function: int gsl_fit_linear (const double * x, const size_t xstride, const
double * y, const size_t ystride, size_t n, double * c0, double * c1, double
* cov00, double * cov01, double * cov11, double * sumsq)
This function computes the best-fit linear regression coefficients (c0,
c1) of the model Y = c_0 + c_1 X for the datasets (x, y), two vectors of
length n with strides xstride and ystride. The variance-covariance matrix
for the parameters (c0, c1) is estimated from the s
Function: int gsl_fit_linear (const double * x, const size_t xstride, const
double * y, const size_t ystride, size_t n, double * c0, double * c1, double
* cov00, double * cov01, double * cov11, double * sumsq)
This function computes the best-fit linear regression coefficients (c0,
c1) of the model Y = c_0 + c_1 X for the datasets (x, y), two vectors of
length n with strides xstride and ystride. The variance-covariance matrix
for the parameters (c0, c1) is estimated from the s
