File:Besselcliffordn=0plot.png

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Revision as of 16:03, 29 April 2017 by Tom (talk | contribs) (Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 def besselclifford(n,z): return nsum(lambda k: z**k/(gamma(k+n+1)*...)
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#!/usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
from mpmath import *
from pylab import rcParams
rcParams['figure.figsize'] = 10, 10

def besselclifford(n,z):
        return nsum(lambda k: z**k/(gamma(k+n+1)*fac(k)),[0,inf])

x1=np.arange(-5,15,0.01);
f=np.vectorize(lambda x: besselclifford(0,x))
y1=f(x1)

fig, ax = plt.subplots()

plt.xlabel(r'$x$')
plt.ylabel(r'$\mathcal{C}_0(x)$')

plt.plot(x1,y1,linewidth=2,color='Black')

plt.savefig('besselcliffordn=0plot.png',bbox_inches='tight',pad_inches=0.15)

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current16:03, 29 April 2017Thumbnail for version as of 16:03, 29 April 2017885 × 887 (30 KB)Tom (talk | contribs)Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 def besselclifford(n,z): return nsum(lambda k: z**k/(gamma(k+n+1)*...
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