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You're reading from  Scientific Computing with Python 3

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Published inDec 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781786463517
Edition1st Edition
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Authors (3):
Claus Führer
Claus Führer
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Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer

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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):
    return array(list(self.divdiff()))

Here we used divided differences for computing the Newton...

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Scientific Computing with Python 3
Published in: Dec 2016Publisher: PacktISBN-13: 9781786463517

Authors (3)

author image
Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer