Python computes Newton iterative polynomial example analysis

Source: Internet
Author: User
In this paper, we describe the method of Python to compute Newton iterative polynomial. Share to everyone for your reference. The implementation method is as follows:

"P = Evalpoly (a,xdata,x).  Evaluates Newton ' s polynomial p at x. The coefficient  vector ' a ' can is computed by the function ' coeffts '.  A = Coeffts (xdata,ydata).  Computes the coefficients of Newton ' s polynomial.  " def evalpoly (a,xdata,x):  n = Len (xData)-1 # Degree of polynomial  p = a[n] for  K in range (1,n+1):    p = a[n -K] + (X-xdata[n-k]) *p  return pdef coeffts (xdata,ydata):  m = Len (xData) # Number of data points  A = YDATA.C Opy () for  K in range (1,m):    a[k:m] = (a[k:m]-a[k-1])/(Xdata[k:m]-xdata[k-1])  return a

Hopefully this article will help you with Python programming.

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