#! /usr/bin/env python # def bessel_j0_values ( n_data ): #*****************************************************************************80 # ## BESSEL_J0_VALUES returns some values of the J0 Bessel function. # # Discussion: # # In Mathematica, the function can be evaluated by: # # BesselJ[0,x] # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 15 September 2004 # # Author: # # John Burkardt # # Reference: # # Milton Abramowitz and Irene Stegun, # Handbook of Mathematical Functions, # US Department of Commerce, 1964. # # Stephen Wolfram, # The Mathematica Book, # Fourth Edition, # Wolfram Media / Cambridge University Press, 1999. # # Parameters: # # Input/output, integer N_DATA. The user sets N_DATA to 0 before the # first call. On each call, the routine increments N_DATA by 1, and # returns the corresponding data; when there is no more data, the # output value of N_DATA will be 0 again. # # Output, real X, the argument of the function. # # Output, real FX, the value of the function. # n_max = 21; fx_vec = [ \ ]; x_vec = [ \ ]; import numpy as np n_max = 21 fx_vec = np.array ( ( \ -0.1775967713143383E+00, \ -0.3971498098638474E+00, \ -0.2600519549019334E+00, \ 0.2238907791412357E+00, \ 0.7651976865579666E+00, \ 0.1000000000000000E+01, \ 0.7651976865579666E+00, \ 0.2238907791412357E+00, \ -0.2600519549019334E+00, \ -0.3971498098638474E+00, \ -0.1775967713143383E+00, \ 0.1506452572509969E+00, \ 0.3000792705195556E+00, \ 0.1716508071375539E+00, \ -0.9033361118287613E-01, \ -0.2459357644513483E+00, \ -0.1711903004071961E+00, \ 0.4768931079683354E-01, \ 0.2069261023770678E+00, \ 0.1710734761104587E+00, \ -0.1422447282678077E-01 ) ) x_vec = np.array ( ( \ -5.0E+00, \ -4.0E+00, \ -3.0E+00, \ -2.0E+00, \ -1.0E+00, \ 0.0E+00, \ 1.0E+00, \ 2.0E+00, \ 3.0E+00, \ 4.0E+00, \ 5.0E+00, \ 6.0E+00, \ 7.0E+00, \ 8.0E+00, \ 9.0E+00, \ 10.0E+00, \ 11.0E+00, \ 12.0E+00, \ 13.0E+00, \ 14.0E+00, \ 15.0E+00 ) ) if ( n_data < 0 ): n_data = 0 if ( n_max <= n_data ): n_data = 0 x = 0.0 fx = 0.0 else: x = x_vec[n_data] fx = fx_vec[n_data] n_data = n_data + 1 return n_data, x, fx def bessel_j0_values_test ( ): #*****************************************************************************80 # ## BESSEL_J0_VALUES_TEST demonstrates the use of BESSEL_J0_VALUES. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 27 December 2014 # # Author: # # John Burkardt # print ( '' ) print ( 'BESSEL_J0_VALUES_TEST:' ) print ( ' BESSEL_J0_VALUES stores values of the Bessel J function. of order 0.' ) print ( '' ) print ( ' X J(0,X)' ) print ( '' ) n_data = 0 while ( True ): n_data, x, fx = bessel_j0_values ( n_data ) if ( n_data == 0 ): break print ( ' %12f %24.16g' % ( x, fx ) ) # # Terminate. # print ( '' ) print ( 'BESSEL_J0_VALUES_TEST:' ) print ( ' Normal end of execution.' ) return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) bessel_j0_values_test ( ) timestamp ( )