gsl_fit_linear() 和 gsl_fit_wlinear() 分别是线性和加权线性问题的单变量拟合(即线型回归),另外 gsl_fit_linear_est() 还估计误差。多元情形为 gsl_fit_mul()、gsl_fit_wmul() 与 gsl_fit_mul_linear()。对广义的 LSF 问题,需要使用 gsl_multifit_linear_alloc() 分配 workspace,最后释放,类似的函数...
gsl_multifit_linear_workspace *work = gsl_multifit_linear_alloc(n, p); gsl_multifit_linear(X_matrix, y_vector, c_vector, cov_matrix, &sumsq, work); gsl_multifit_linear_free(work); // 提取结果 c0 = gsl_vector_get(c_vector, 0); c1 = gsl_vector_get(c_vector, 1); cov00 = ...
*/GSL_EXPORTintgsl_fit_linear(constdouble* x,constsize_txstride,constdouble* y,constsize_tystride,size_tn,double* c0,double* c1,double* cov00,double* cov01,double* cov11,double* sumsq); 4.然后新建一个c文件,名为Origin_Call_GSL.c,保存在与头文件一个文件夹上,并加入Code Builder的工作空间...
Technology is the application of scientific knowledge for practical purposes and one size does not fit all We at GSL, are focused on using the most efficient technology and tools to help solve complex problems. Our out of the box approach helps us fuse and mate the best solutions from all o...
Least Square Fitting 最小二乘拟合 gsl_fit.h 分 单变量和多变量。gsl_fit_linear() 和 gsl_fit_wlinear() 分别是线性和加权线性问题的单变量拟合(即线型回归),另外 gsl_fit_linear_est() 还估计误差。多元情形为 gsl_fit_mul()、gsl_fit_wmul() 与 gsl_fit_mul_linear()。对广义的 LSF 问题,需要...
问用GNU科学图书馆(GSL)拟合多项式曲线ENimport numpy as np #主要用于处理矩阵相关运算 import random #主要用于随机数处理 import matplotlib.pyplot as plt #数据可视化模块 #多项式的次数 m=10#生成样本数据点 x=np.arange(-1,1,0.02) y=[((a*a-1.55)**3+(a-0.3)**7+4*np.sin(5*a)...
GSL provides two separate interfaces for nonlinear least squares fitting. The first is designed for small to moderate sized problems(gsl_multifit_nlinear.h), and the second is designed for very large problems(gsl_multilarge_nlinear.h), which may or may not have significant sparse structure. ...
fdf:gsl_multifit_nlinear_fdf; n:Integer; p:Integer; x:pgsl_vector; fdf_params:gsl_multifit_nlinear_parameters; r:pgsl_rng; i:Integer; t:double; fit_data:TFitData; alpha,kappa:double; tp:pgsl_multifit_nlinear_type; gsl_multifit_nlinear_trs_lmaccel2:function():Pgsl_multifit_nli...
@@ -12,6 +12,7 @@ This release introduces support for gsl 2.7. An overview: 12 12 interfaces 13 13 8. added gsl_multifit_linear_lcurvature interface 14 14 9. added gsl_spline2d_eval_extrap interface 15 + 10. bug fixes for missing interfaces and status handling 15 16 16 17...
The function gsl_nls() solves small to moderate sized nonlinear least-squares problems with the gsl_multifit_nlinear interface with built-in support for multi-start optimization and nonlinear robust regression. For large problems, where factoring the full Jacobian matrix becomes prohibitively expensive...