Python computing Newton iteration polynomial instance analysis

This article describes how to use python to calculate Newton's iterative polynomials. it involves the related skills of Python mathematical operations. For more information, see the example in this article. Share it with you for your reference. The specific implementation method is as follows:

'''P = evalPoly (a, xData, x ). evaluates Newton's polynomial p at x. the coefficient vector 'A' can be 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. copy () for k in range (1, m): a [k: m] = (a [k: m]-a [k-1])/(xData [k: m]-xData [k-1]) return

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