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Scientific Computing with Python 3
book

Scientific Computing with Python 3

by Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
December 2016
Intermediate to advanced
332 pages
6h 2m
English
Packt Publishing
Content preview from Scientific Computing with Python 3

Newton polynomial

The NewtonPolyNomial class defines a polynomial described with respect to the Newton basis. We let it inherit some common methods from the polynomial base class, for example, polynomial.plot, polynomial.zeros, and even parts of the __init__ method, by using the super command (refer to section Subclassing and Inheritance in Chapter 8, Classes):

class NewtonPolynomial(PolyNomial):
    base = 'Newton'
    def __init__(self,**args):
        if 'coeff' in args:
            try:
                self.xi = array(args['xi'])
            except KeyError: 
                raise ValueError('Coefficients need to be given'
                'together with abscissae values xi')
        super(NewtonPolynomial, self).__init__(**args)

Once the interpolation points are given, the computation of the coefficients is performed by:

def point_2_coeff(self): ...
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Publisher Resources

ISBN: 9781786463517