#! /usr/bin/env python # def trigamma_values ( n_data ): #*****************************************************************************80 # ## TRIGAMMA_VALUES returns some values of the TriGamma function. # # Discussion: # # In Mathematica, the function can be evaluated by: # # PolyGamma[1,x] # # TriGamma(X) = d^2 ln ( Gamma ( X ) ) / d X^2 # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 22 February 2015 # # 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 F, the value of the function. # import numpy as np n_max = 11 f_vec = np.array ( ( \ 0.1644934066848226E+01, \ 0.1433299150792759E+01, \ 0.1267377205423779E+01, \ 0.1134253434996619E+01, \ 0.1025356590529597E+01, \ 0.9348022005446793E+00, \ 0.8584318931245799E+00, \ 0.7932328301639984E+00, \ 0.7369741375017002E+00, \ 0.6879720582426356E+00, \ 0.6449340668482264E+00 )) x_vec = np.array ( ( \ 1.0E+00, \ 1.1E+00, \ 1.2E+00, \ 1.3E+00, \ 1.4E+00, \ 1.5E+00, \ 1.6E+00, \ 1.7E+00, \ 1.8E+00, \ 1.9E+00, \ 2.0E+00 )) if ( n_data < 0 ): n_data = 0 if ( n_max <= n_data ): n_data = 0 x = 0.0 f = 0.0 else: x = x_vec[n_data] f = f_vec[n_data] n_data = n_data + 1 return n_data, x, f def trigamma_values_test ( ): #*****************************************************************************80 # ## TRIGAMMA_VALUES_TEST demonstrates the use of TRIGAMMA_VALUES. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 22 February 2015 # # Author: # # John Burkardt # import platform print ( '' ) print ( 'TRIGAMMA_VALUES_TEST:' ) print ( ' Python version: %s' % ( platform.python_version ( ) ) ) print ( ' TRIGAMMA_VALUES stores values of the TRIGAMMA function.' ) print ( '' ) print ( ' X TRIGAMMA(X)' ) print ( '' ) n_data = 0 while ( True ): n_data, x, f = trigamma_values ( n_data ) if ( n_data == 0 ): break print ( ' %12f %24.16f' % ( x, f ) ) # # Terminate. # print ( '' ) print ( 'TRIGAMMA_VALUES_TEST:' ) print ( ' Normal end of execution.' ) return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) trigamma_values_test ( ) timestamp ( )