# include # include # include using namespace std; # include "asa121.hpp" //****************************************************************************80 double trigamma ( double x, int *ifault ) //****************************************************************************80 // // Purpose: // // trigamma() calculates trigamma(x) = d^2 log(gamma(x)) / dx^2 // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 19 January 2008 // // Author: // // Original FORTRAN77 version by BE Schneider. // C++ version by John Burkardt. // // Reference: // // BE Schneider, // Algorithm AS 121: // Trigamma Function, // Applied Statistics, // Volume 27, Number 1, pages 97-99, 1978. // // Parameters: // // Input, double X, the argument of the trigamma function. // 0 < X. // // Output, int *IFAULT, error flag. // 0, no error. // 1, X <= 0. // // Output, double TRIGAMMA, the value of the trigamma function at X. // { double a = 0.0001; double b = 5.0; double b2 = 0.1666666667; double b4 = -0.03333333333; double b6 = 0.02380952381; double b8 = -0.03333333333; double value; double y; double z; // // Check the input. // if ( x <= 0.0 ) { *ifault = 1; value = 0.0; return value; } *ifault = 0; z = x; // // Use small value approximation if X <= A. // if ( x <= a ) { value = 1.0 / x / x; return value; } // // Increase argument to ( X + I ) >= B. // value = 0.0; while ( z < b ) { value = value + 1.0 / z / z; z = z + 1.0; } // // Apply asymptotic formula if argument is B or greater. // y = 1.0 / z / z; value = value + 0.5 * y + ( 1.0 + y * ( b2 + y * ( b4 + y * ( b6 + y * b8 )))) / z; return value; } //****************************************************************************80 void trigamma_values ( int *n_data, double *x, double *fx ) //****************************************************************************80 // // Purpose: // // 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 MIT license. // // Modified: // // 16 September 2004 // // Author: // // John Burkardt // // Reference: // // Milton Abramowitz, Irene Stegun, // Handbook of Mathematical Functions, // National Bureau of Standards, 1964, // ISBN: 0-486-61272-4, // LC: QA47.A34. // // Stephen Wolfram, // The Mathematica Book, // Fourth Edition, // Cambridge University Press, 1999, // ISBN: 0-521-64314-7, // LC: QA76.95.W65. // // Parameters: // // Input/output, int *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, double *X, the argument of the function. // // Output, double *FX, the value of the function. // { # define N_MAX 11 double fx_vec[N_MAX] = { 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 }; double x_vec[N_MAX] = { 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; } *n_data = *n_data + 1; if ( N_MAX < *n_data ) { *n_data = 0; *x = 0.0; *fx = 0.0; } else { *x = x_vec[*n_data-1]; *fx = fx_vec[*n_data-1]; } return; # undef N_MAX }