matlab代码cox-bspline:通过Cox实现Python/Numpybspline的实现-deBoor

Matlab代码考克斯Bspline.py 通过Cox-de Boor算法实现Bspline基本函数的Python / Numpy实现。 还提供了高阶微分，并置矩阵生成以及最小化的过程API（主要用于处理结向量），这可能有助于转换MATLAB代码。 用法 import numpy import bspline import bspline . splinelab as splinelab ## Spline setup and evaluation p = 3 # order of spline (as-is; 3 = cubic) nknots = 11 # number of knots to generate (here endpoints count only once) tau = [ 0.1 , 0.33 ] # collocation sites (i.e. where to evaluate) knots = numpy . linspace ( 0 , 1 , nknots ) # create a knot vector without endpoint repea