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* yeti_gsl.i --
*
* Support for GSL (GNU Scientific Library) in Yeti.
*
*-----------------------------------------------------------------------------
*
* Copyright (C) 2005-2006, Eric ThiƩbaut.
*
* This file is part of Yeti.
*
* Yeti is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 as
* published by the Free Software Foundation.
*
* Yeti is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
* License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Yeti (file "COPYING" in the top source directory); if
* not, write to the Free Software Foundation, Inc., 51 Franklin St,
* Fifth Floor, Boston, MA 02110-1301 USA
*
*-----------------------------------------------------------------------------
*
* History:
* $Id: yeti_gsl.i,v 1.2 2006/07/19 15:15:13 eric Exp $
* $Log: yeti_gsl.i,v $
* Revision 1.2 2006/07/19 15:15:13 eric
* - Copyright notice updated.
*
* Revision 1.1 2006/06/10 07:20:10 eric
* Initial revision
*/
if (is_func(plug_in)) plug_in, "yeti_gsl";
local gsl_sf;
/* DOCUMENT gsl_sf_*
*
* Special functions from GSL (GNU Scientific Library) are prefixed with
* "gsl_sf_"; to obtain more information, see the following documentation
* entries:
*
* gsl_sf_airy_Ai - Airy functions
* gsl_sf_bessel_J0 - regular cylindrical Bessel functions
* gsl_sf_bessel_Y0 - irregular cylindrical Bessel functions
* gsl_sf_bessel_I0 - regular modified cylindrical Bessel functions
* gsl_sf_bessel_K0 - irregular modified cylindrical Bessel functions
* gsl_sf_bessel_j0 - regular spherical Bessel functions
* gsl_sf_bessel_y0 - irregular spherical Bessel functions
* gsl_sf_bessel_i0_scaled - regular modified spherical Bessel functions
* gsl_sf_bessel_k0_scaled - irregular modified spherical Bessel functions
* gsl_sf_clausen - Clausen function
* gsl_sf_dawson - Dawson integral
* gsl_sf_debye - Debye functions
* gsl_sf_dilog - dilogarithm
* gsl_sf_ellint_Kcomp - Legendre form of complete elliptic integrals
* gsl_sf_erf - error functions
* gsl_sf_exp - exponential and logarithm functions
* gsl_sf_expint - exponential, hyperbolic and trigonometric integrals
* gsl_sf_fermi_dirac - Fermi-Dirac integrals
* gsl_sf_gamma - Gamma functions
* gsl_sf_lamber - Lambert's functions
* gsl_sf_legendre - Legendre polynomials
* gsl_sf_synchrotron - synchrotron functions
* gsl_sf_transport - transport functions
* gsl_sf_sin - trigonometric functions
* gsl_sf_zeta - Zeta functions
*/
extern gsl_sf_airy_Ai;
extern gsl_sf_airy_Bi;
extern gsl_sf_airy_Ai_scaled;
extern gsl_sf_airy_Bi_scaled;
extern gsl_sf_airy_Ai_deriv;
extern gsl_sf_airy_Bi_deriv;
extern gsl_sf_airy_Ai_deriv_scaled;
extern gsl_sf_airy_Bi_deriv_scaled;
/* DOCUMENT gsl_sf_airy_Ai(x [,flags])
* gsl_sf_airy_Bi(x [,flags])
* gsl_sf_airy_Ai_deriv(x [,flags])
* gsl_sf_airy_Bi_deriv(x [,flags])
* gsl_sf_airy_Ai_scaled(x [,flags])
* gsl_sf_airy_Bi_scaled(x [,flags])
* gsl_sf_airy_Ai_deriv_scaled(x [,flags])
* gsl_sf_airy_Bi_deriv_scaled(x [,flags])
*
* These routines compute the Airy functions and derivatives for the
* argument X (a non-complex numerical array).
*
* The routines gsl_sf_airy_Ai and gsl_sf_airy_Bi compute Airy functions
* Ai(x) and Bi(x) which are defined by the integral representations:
*
* Ai(x) = (1/PI) \int_0^\infty cos((1/3)*t^3 + x*t) dt
* Bi(x) = (1/PI) \int_0^\infty (exp(-(1/3)*t^3)
* + sin((1/3)*t^3 + x*t)) dt
*
* The routines gsl_sf_airy_Ai_deriv and gsl_sf_airy_Bi_deriv compute
* the derivatives of the Airy functions.
*
* The routines gsl_sf_airy_Ai_scaled and gsl_sf_airy_Bi_scaled compute
* a scaled version of the Airy functions S_A(x) Ai(x) and S_B(x) Bi(x).
* The scaling factors are:
* S_A(x) = exp(+(2/3)*x^(3/2)), for x>0
* 1, for x<0;
* S_B(x) = exp(-(2/3)*x^(3/2)), for x>0
* 1, for x<0.
*
* The routines gsl_sf_airy_Ai_deriv_scaled and
* gsl_sf_airy_Bi_deriv_scaled compute the derivatives of the scaled Airy
* functions.
*
* The optional FLAGS argument is a bitwise combination which specifies
* the relative accuracy of the result and if an estimate of the error
* is required:
*
* (FLAGS & 1) is non-zero to compute an estimate of the error, the
* result, says Y, has an additional dimension of length 2
* prepended to the dimension list of X:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
* (FLAGS & 6) is the accuracy mode:
* 6 - Double-precision (GSL_PREC_DOUBLE), a relative accuracy of
* approximately 2e-16.
* 4 - Single-precision (GSL_PREC_SINGLE), a relative accuracy of
* approximately 1e-7.
* 2 - Approximate values (GSL_PREC_APPROX), a relative accuracy
* of approximately 5e-4.
* 0 - Default accuracy (GSL_PREC_DOUBLE).
*
* For instance, with FLAGS=1, function values are computed with relative
* accuracy of 2e-16 and an estimate of the error is returned; with
* FLAGS=2, approximate values with relative accuracy of 5e-4 are
* returned without error estimate
*
*
* SEE ALSO: gsl_sf.
*/
extern gsl_sf_bessel_J0;
extern gsl_sf_bessel_J1;
extern gsl_sf_bessel_Jn;
extern gsl_sf_bessel_Jnu;
/* DOCUMENT gsl_sf_bessel_J0(x [,err])
* gsl_sf_bessel_J1(x [,err])
* gsl_sf_bessel_Jn(n, x [,err])
* gsl_sf_bessel_Jnu(nu, x [,err])
*
* These functions compute the regular cylindrical Bessel functions for
* argument X (a non-complex numerical array or scalar) and of various
* order: zeroth order, J_0(x); first order, J_1(x), integer order order
* N, J_n(x), and fractional order NU, J_nu(x). N must be a scalar
* integer and NU a scalar real.
*
* If optional argument ERR is true, these functions also compute an
* estimate of the error, the result, says Y, has an additional dimension
* of length 2 prepended to the dimension list of X:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_Y0, gsl_sf_bessel_I0, gsl_sf_bessel_K0,
* gsl_sf_bessel_j0, gsl_sf_bessel_y0, gsl_sf_bessel_i0,
* gsl_sf_bessel_k0.
*/
extern gsl_sf_bessel_Y0;
extern gsl_sf_bessel_Y1;
extern gsl_sf_bessel_Yn;
extern gsl_sf_bessel_Ynu;
/* DOCUMENT gsl_sf_bessel_Y0(x [,err])
* gsl_sf_bessel_Y1(x [,err])
* gsl_sf_bessel_Yn(n, x [,err])
* gsl_sf_bessel_Ynu(nu, x [,err])
*
* These functions compute the irregular cylindrical Bessel functions for
* X>0. See gsl_sf_bessel_J0 for a more detailled description of the
* arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_I0;
extern gsl_sf_bessel_I1;
extern gsl_sf_bessel_In;
extern gsl_sf_bessel_Inu;
extern gsl_sf_bessel_I0_scaled;
extern gsl_sf_bessel_I1_scaled;
extern gsl_sf_bessel_In_scaled;
extern gsl_sf_bessel_Inu_scaled;
/* DOCUMENT gsl_sf_bessel_I0(x [,err])
* gsl_sf_bessel_I1(x [,err])
* gsl_sf_bessel_In(n, x [,err])
* gsl_sf_bessel_Inu(nu, x [,err])
* gsl_sf_bessel_I0_scaled(x [,err])
* gsl_sf_bessel_I1_scaled(x [,err])
* gsl_sf_bessel_In_scaled(n, x [,err])
* gsl_sf_bessel_Inu_scaled(nu, x [,err])
*
* These routines compute the regular modified cylindrical Bessel
* functions and their scaled counterparts. The scaling factor is
* exp(-abs(X)); for instance: I0_scaled(X) = exp(-abs(X))*I0(X). See
* gsl_sf_bessel_J0 for a more detailled description of the arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_K0;
extern gsl_sf_bessel_K1;
extern gsl_sf_bessel_Kn;
extern gsl_sf_bessel_Knu;
extern gsl_sf_bessel_lnKnu;
extern gsl_sf_bessel_K0_scaled;
extern gsl_sf_bessel_K1_scaled;
extern gsl_sf_bessel_Kn_scaled;
extern gsl_sf_bessel_Knu_scaled;
/* DOCUMENT gsl_sf_bessel_K0(x [,err])
* gsl_sf_bessel_K1(x [,err])
* gsl_sf_bessel_Kn(n, x [,err])
* gsl_sf_bessel_Knu(nu, x [,err])
* gsl_sf_bessel_lnKnu(nu, x [,err])
* gsl_sf_bessel_K0_scaled(x [,err])
* gsl_sf_bessel_K1_scaled(x [,err])
* gsl_sf_bessel_Kn_scaled(n, x [,err])
* gsl_sf_bessel_Knu_scaled(nu, x [,err])
*
* These routines compute the irregular modified cylindrical Bessel
* functions and their scaled counterparts. The scaling factor is exp(X)
* for X>0; for instance: K0_scaled(X) = exp(X)*K0(X). The function
* gsl_sf_bessel_lnKnu computes the logarithm of the irregular modified
* Bessel function of fractional order NU. See gsl_sf_bessel_J0 for a
* more detailled description of the arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_j0;
extern gsl_sf_bessel_j1;
extern gsl_sf_bessel_j2;
extern gsl_sf_bessel_jl;
/* DOCUMENT gsl_sf_bessel_j0(x [,err])
* gsl_sf_bessel_j1(x [,err])
* gsl_sf_bessel_j2(x [,err])
* gsl_sf_bessel_jl(l, x [,err])
*
* These routines compute the regular spherical Bessel functions of
* zeroth order (j0), first order (j1), second order (j2) and l-th order
* (jl, for X>=0 and L>=0). See gsl_sf_bessel_J0 for a more detailled
* description of the arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_y0;
extern gsl_sf_bessel_y1;
extern gsl_sf_bessel_y2;
extern gsl_sf_bessel_yl;
/* DOCUMENT gsl_sf_bessel_y0(x [,err])
* gsl_sf_bessel_y1(x [,err])
* gsl_sf_bessel_y2(x [,err])
* gsl_sf_bessel_yl(l, x [,err])
*
* These routines compute the irregular spherical Bessel functions of
* zeroth order (y0), first order (y1), second order (y2) and l-th order
* (yl, for L>=0):
*
* y0(x) = -cos(x)/x
* y1(x) = -(cos(x)/x + sin(x))/x
* y2(x) = (-3/x^3 + 1/x)*cos(x) - (3/x^2)*sin(x)
*
* See gsl_sf_bessel_J0 for a more detailled description of the
* arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_i0_scaled;
extern gsl_sf_bessel_i1_scaled;
extern gsl_sf_bessel_i2_scaled;
extern gsl_sf_bessel_il_scaled;
/* DOCUMENT gsl_sf_bessel_i0_scaled(x [,err])
* gsl_sf_bessel_i1_scaled(x [,err])
* gsl_sf_bessel_i2_scaled(x [,err])
* gsl_sf_bessel_il_scaled(l, x [,err])
*
* These routines compute the regular modified spherical Bessel functions
* of zeroth order (i0), first order (i1), second order (i2) and l-th
* order (il):
*
* il_scaled(x) = exp(-abs(x))*il(x)
*
* The regular modified spherical Bessel functions i_l(x) are related to
* the modified Bessel functions of fractional order by:
*
* i_l(x) = sqrt(PI/(2*x))*I_{l + 1/2}(x)
*
* See gsl_sf_bessel_J0 for a more detailled description of the
* arguments.
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_bessel_k0_scaled;
extern gsl_sf_bessel_k1_scaled;
extern gsl_sf_bessel_k2_scaled;
extern gsl_sf_bessel_kl_scaled;
/* DOCUMENT gsl_sf_bessel_k0_scaled(x [,err])
* gsl_sf_bessel_k1_scaled(x [,err])
* gsl_sf_bessel_k2_scaled(x [,err])
* gsl_sf_bessel_kl_scaled(l, x [,err])
*
* These routines compute the irregular modified spherical Bessel
* functions of zeroth order (k0), first order (k1), second order (k2)
* and l-th order (kl), for X>0:
*
* kl_scaled(x) = exp(x)*kl(x)
*
* The irregular modified spherical Bessel functions i_l(x) are related to
* the modified Bessel functions of fractional order by:
*
* k_l(x) = sqrt(PI/(2*x))*K_{l + 1/2}(x)
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf, gsl_sf_bessel_J0.
*/
extern gsl_sf_clausen;
/* DOCUMENT gsl_sf_clausen(x [,err])
*
* Returns the Clausen function Cl_2 of its argument X.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
extern gsl_sf_dawson;
/* DOCUMENT gsl_sf_dawson(x [,err])
*
* Returns the Dawson integral of its argument X defined by:
*
* exp(-x^2) \int_0^x exp(t^2) dt
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
extern gsl_sf_debye_1;
extern gsl_sf_debye_2;
extern gsl_sf_debye_3;
extern gsl_sf_debye_4;
extern gsl_sf_debye_5;
extern gsl_sf_debye_6;
local gsl_sf_debye;
/* DOCUMENT gsl_sf_debye_1(x [,err])
* gsl_sf_debye_2(x [,err])
* gsl_sf_debye_3(x [,err])
* gsl_sf_debye_4(x [,err])
* gsl_sf_debye_5(x [,err])
* gsl_sf_debye_6(x [,err])
*
* Return the Debye function D_n(x) of argument X defined by the
* following integral:
*
* D_n(x) = n/x^n \int_0^x (t^n/(e^t - 1)) dt
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
extern gsl_sf_dilog;
/* DOCUMENT gsl_sf_dilog(x [,err])
*
* Return the dilogarithm for a real argument X. If optional argument
* ERR is true, the result, says Y, has an additional dimension of length
* 2 prepended to the dimension list of X which is used to provide an
* estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
extern gsl_sf_ellint_Kcomp;
extern gsl_sf_ellint_Ecomp;
/* DOCUMENT gsl_sf_ellint_Kcomp(k [,flags])
* gsl_sf_ellint_Ecomp(k [,flags])
* Return the complete elliptic integral K(k) or E(k). See
* gsl_sf_airy_Ai for the meaning of optional argument FLAGS.
*
* SEE ALSO: gsl_sf, gsl_sf_airy_Ai.
*/
extern gsl_sf_erf;
extern gsl_sf_erfc;
extern gsl_sf_log_erfc;
extern gsl_sf_erf_Z;
extern gsl_sf_erf_Q;
extern gsl_sf_hazard;
/* DOCUMENT gsl_sf_erf(x [,err])
* gsl_sf_erfc(x [,err])
* gsl_sf_log_erfc(x [,err])
* gsl_sf_erf_Q(x [,err])
* gsl_sf_erf_Z(x [,err])
* gsl_sf_hazard(x [,err])
*
* gsl_sf_erf(x) computes the error function:
*
* erf(x) = (2/sqrt(pi)) \int_0^x exp(-t^2) dt
*
* gsl_sf_erfc(x) computes the complementary error function:
*
* erfc(x) = 1 - erf(x)
* = (2/sqrt(pi)) \int_x^\infty exp(-t^2) dt
*
* gsl_sf_log_erfc(x) computes the logarithm of the complementary error function.
*
* gsl_sf_erf_Z(x) computes the Gaussian probability density function:
*
* Z(x) = (1/sqrt(2 pi)) \exp(-x^2/2).
*
* gsl_sf_erf_Q(x) computes the upper tail of the Gaussian probability
* density function:
*
* Q(x) = (1/sqrt(2 pi)) \int_x^\infty \exp(-t^2/2) dt.
*
* gsl_sf_hazard(x) computes the hazard function for the normal
* distribution, also known as the inverse Mill's ratio:
*
* h(x) = Z(x)/Q(x)
* = sqrt(2/pi) exp(-x^2/2)/erfc(x/sqrt(2)).
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
extern gsl_sf_exp;
extern gsl_sf_expm1;
extern gsl_sf_exprel;
extern gsl_sf_exprel_2;
extern gsl_sf_exprel_n;
extern gsl_sf_log;
extern gsl_sf_log_abs;
extern gsl_sf_log_1plusx;
extern gsl_sf_log_1plusx_mx;
/* DOCUMENT gsl_sf_exp(x [,err])
* gsl_sf_expm1(x [,err])
* gsl_sf_exprel(x [,err])
* gsl_sf_exprel_2(x [,err])
* gsl_sf_exprel_n(n, x [,err])
* gsl_sf_log(x [,err])
* gsl_sf_log_abs(x [,err])
* gsl_sf_log_1plusx(x [,err])
* gsl_sf_log_1plusx_mx(x [,err])
*
* gsl_sf_exp(X) computes the exponential of X.
*
* gsl_sf_expm1(X) computes the quantity exp(X) - 1 using an algorithm
* that is accurate for small X.
*
* gsl_sf_exprel(X) computes the quantity (exp(X) - 1)/X using an
* algorithm that is accurate for small X and which is based on the
* expansion:
*
* (exp(x) - 1)/x = 1 + x/2 + x^2/(2*3) + x^3/(2*3*4) + ...
*
* gsl_sf_exprel_2(X) computes the quantity 2*(exp(X) - 1)/X^2 using an
* algorithm that is accurate for small X and which is based on the
* expansion:
*
* 2*(exp(x) - 1 - x)/x^2 = 1 + x/3 + x^2/(3*4) + x^3/(3*4*5) + ...
*
* gsl_sf_exprel_n(N,X) computes the N-relative exponential (N must be a
* scalar integer):
*
* expre_n(x) = n! / x^n ( exp(x) - \sum_{k=0}^{n-1} x^k / k! )
*
* gsl_sf_log(X) computes the logarithm of X, for X > 0.
*
* gsl_sf_log_abs(X) computes the logarithm of |X|, for X != 0.
*
* gsl_sf_log_1plusx(x) computes log(1 + X) for X > -1 using an algorithm
* that is accurate for small X.
*
* gsl_sf_log_1plusx_mx(x) computes log(1 + X) - X for X > -1 using an
* algorithm that is accurate for small X.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
local gsl_sf_expint;
extern gsl_sf_expint_E1;
extern gsl_sf_expint_E2;
extern gsl_sf_expint_Ei;
extern gsl_sf_expint_3;
extern gsl_sf_Shi;
extern gsl_sf_Chi;
extern gsl_sf_Si;
extern gsl_sf_Ci;
extern gsl_sf_atanint;
/* DOCUMENT gsl_sf_expint_E1(x [, err])
* gsl_sf_expint_E2(x [, err])
* gsl_sf_expint_Ei(x [, err])
* gsl_sf_expint_3(x [, err])
* gsl_sf_Shi(x [, err])
* gsl_sf_Chi(x [, err])
* gsl_sf_Si(x [, err])
* gsl_sf_Ci(x [, err])
* gsl_sf_atanint(x [, err])
*
* gsl_sf_expint_E1(X) computes the exponential integral:
* E1(x) = \int_1^\infty exp(-x t)/t dt
*
* gsl_sf_expint_E2(X) computes the second-order exponential integral:
* E2(x) = \int_1^\infty exp(-x t)/t^2 dt
*
* gsl_sf_expint_E2(X) computes the exponetial integral:
* Ei(x) = -PV( \int_{-x}^\infty exp(-t)/t dt )
* where PV() denotes the principal value.
*
* gsl_sf_expint_3(X) computes the third-order exponential integral:
* Ei_3(x) = \int_0^x \exp(-t^3) dt for x >= 0.
*
* gsl_sf_Shi(X) computes the integral:
* Shi(x) = \int_0^x sinh(t)/t dt.
*
* gsl_sf_Chi(X) computes the integral:
* Chi(x) = Re[ gamma_E + log(x) + \int_0^x (cosh(t) - 1)/t dt ]
* where gamma_E is the Euler constant.
*
* gsl_sf_Si(X) computes the Sine integral:
* Si(x) = \int_0^x sin(t)/t dt.
*
* gsl_sf_Ci(X) computes the Cosine integral:
* Ci(x) = -\int_x^\int_x cos(t)/t dt for x > 0.
*
* gsl_sf_atanint(X) computes the arc-tangent integral:
* AtanInt(x) = \int_0^x arctan(t)/t dt.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf
*/
local gsl_sf_fermi_dirac;
extern gsl_sf_fermi_dirac_m1;
extern gsl_sf_fermi_dirac_0;
extern gsl_sf_fermi_dirac_1;
extern gsl_sf_fermi_dirac_2;
extern gsl_sf_fermi_dirac_mhalf;
extern gsl_sf_fermi_dirac_half;
extern gsl_sf_fermi_dirac_3half;
extern gsl_sf_fermi_dirac_int;
/* DOCUMENT gsl_sf_fermi_dirac_int(j, x [, err])
* gsl_sf_fermi_dirac_m1(x [, err])
* gsl_sf_fermi_dirac_0(x [, err])
* gsl_sf_fermi_dirac_1(x [, err])
* gsl_sf_fermi_dirac_2(x [, err])
* gsl_sf_fermi_dirac_mhalf(x [, err])
* gsl_sf_fermi_dirac_half(x [, err])
* gsl_sf_fermi_dirac_3half(x [, err])
*
* gsl_sf_fermi_dirac_int(J,X) computes the complete Fermi-Dirac integral
* with an index of J:
* F_j(x) = 1/Gamma(j + 1) \int_0^\infty t^j/(exp(t - x) + 1) dt
* where J is a scalar integer and Gamma() is the Gamma function:
* Gamma(n) = (n - 1)!
* for integer n.
*
* gsl_sf_fermi_dirac_m1(X) computes the complete Fermi-Dirac integral
* with an index of -1:
* F_{-1}(x) = exp(x)/(1 + exp(x))
*
* gsl_sf_fermi_dirac_0(X) computes the complete Fermi-Dirac integral
* with an index of 0:
* F_0(x) = log(1 + exp(x))
*
* gsl_sf_fermi_dirac_1(X) computes the complete Fermi-Dirac integral
* with an index of 1:
* F_1(x) = \int_0^\infty t/(exp(t - x) + 1) dt
*
* gsl_sf_fermi_dirac_2(X) computes the complete Fermi-Dirac integral
* with an index of 2:
* F_2(x) = (1/2) \int_0^\infty t^2/(exp(t - x) + 1) dt
*
* gsl_sf_fermi_dirac_mhalf(X) computes the complete Fermi-Dirac integral
* with an index of -1/2.
*
* gsl_sf_fermi_dirac_half(X) computes the complete Fermi-Dirac integral
* with an index of +1/2.
*
* gsl_sf_fermi_dirac_3half(X) computes the complete Fermi-Dirac integral
* with an index of +3/2.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf, gsl_sf_gamma.
*/
extern gsl_sf_gamma;
extern gsl_sf_lngamma;
extern gsl_sf_gammastar;
extern gsl_sf_gammainv;
extern gsl_sf_taylorcoeff;
/* DOCUMENT gsl_sf_gamma(x [, err])
* gsl_sf_lngamma(x [, err])
* gsl_sf_gammastar(x [, err])
* gsl_sf_gammainv(x [, err])
* gsl_sf_taylorcoeff(n, x [, err])
*
* gsl_sf_gamma(X) computes the Gamma function:
* Gammma(x) = \int_0^\infty t^(x - 1) exp(-t) dt for x >= 0
* for a positive integer argument, Gamma(n) = (n - 1)!.
*
* gsl_sf_lngamma(X) computes the logarithm of the Gamma function.
*
* gsl_sf_gammastar(X) computes the regulated Gamma function:
* GammaStar(x) = Gamma(x) / ( sqrt(2 pi) x^(x - 1/2) exp(x) )
* = 1 + 1/12x + ... for large x
*
* gsl_sf_gammainv(X) computes the reciprocal of the Gamma function
* 1/Gamma(x) using the real Lanczos method.
*
* gsl_sf_taylorcoeff(N,X) computes the Taylor coefficient X^N/N!
* for X >= 0 and N >= 0 -- N must be a scalar integer.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
local gsl_sf_lambert;
extern gsl_sf_lambert_W0;
extern gsl_sf_lambert_Wm1;
/* DOCUMENT gsl_sf_lambert_W0(x [, err])
* gsl_sf_lambert_Wm1(x [, err])
* Lambert's W functions, W(x), are defined to be solutions of the
* equation W(x) exp(W(x)) = x. This function has multiple branches for
* x < 0; however, it has only two real-valued branches. We define W0(x)
* to be the principal branch, where W > -1 for x < 0, and Wm1(x) to
* be the other real branch, where W < -1 for x < 0.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
local gsl_sf_legendre;
extern gsl_sf_legendre_P1;
extern gsl_sf_legendre_P2;
extern gsl_sf_legendre_P3;
extern gsl_sf_legendre_Pl;
extern gsl_sf_legendre_Q0;
extern gsl_sf_legendre_Q1;
extern gsl_sf_legendre_Ql;
/* DOCUMENT gsl_sf_legendre_P1(x [, err])
* gsl_sf_legendre_P2(x [, err])
* gsl_sf_legendre_P3(x [, err])
* gsl_sf_legendre_Pl(l, x [, err])
* gsl_sf_legendre_Q0(x [, err])
* gsl_sf_legendre_Q1(x [, err])
* gsl_sf_legendre_Ql(l, x [, err])
*
* The functions gsl_sf_legendre_P# evaluate the Legendre polynomials
* P_l(x) for specific values of l = 1, 2, 3 or for a scalar integer l.
*
* The functions gsl_sf_legendre_Q# evaluate the Legendre function
* Q_l(x) for specific values of l = 0, 1 or for a scalar integer l.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
local gsl_sf_synchrotron;
extern gsl_sf_synchrotron_1;
extern gsl_sf_synchrotron_2;
local gsl_sf_transport;
extern gsl_sf_transport_2;
extern gsl_sf_transport_3;
extern gsl_sf_transport_4;
extern gsl_sf_transport_5;
/* DOCUMENT gsl_sf_synchrotron_1(x [, err])
* gsl_sf_synchrotron_2(x [, err])
* gsl_sf_transport_2(x [, err])
* gsl_sf_transport_3(x [, err])
* gsl_sf_transport_4(x [, err])
* gsl_sf_transport_5(x [, err])
*
* gsl_sf_synchrotron_1(x) computes the first synchrotron function:
* x \int_x^\infty K_{5/3}(t) dt for x >= 0.
*
* gsl_sf_synchrotron_2(x) computes the second synchrotron function:
* x K_{2/3}(x) for x >= 0.
*
* The transport functions J(n,x) are defined by the integral representations:
* J(n,x) = \int_0^x t^n e^t /(e^t - 1)^2 dt.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
extern gsl_sf_sin;
extern gsl_sf_cos;
extern gsl_sf_sinc;
extern gsl_sf_lnsinh;
extern gsl_sf_lncosh;
/* DOCUMENT gsl_sf_sin(x [, err])
* gsl_sf_cos(x [, err])
* gsl_sf_sinc(x [, err])
* gsl_sf_lnsinh(x [, err])
* gsl_sf_lncosh(x [, err])
*
* gsl_sf_sin(X) computes the sine function of X.
*
* gsl_sf_cos(X) computes the cosine function of X.
*
* gsl_sf_sinc(X) computes sinc(x) = sin(pi x)/(pi x) for any value of X.
*
* gsl_sf_lnsinh(X) computes log(sinh(X)) for X > 0.
*
* gsl_sf_lncosh(X) computes log(cosh(X)) for any value of X.
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
extern gsl_sf_zeta;
extern gsl_sf_zetam1;
extern gsl_sf_eta;
/* DOCUMENT gsl_sf_zeta(x [, err])
* gsl_sf_zetam1(x [, err])
* gsl_sf_eta(x [, err])
*
* gsl_sf_zeta(x) computes the Riemann zeta function:
* zeta(x) = \sum_{k=1}^\infty k^{-x} for X != 1.
*
* gsl_sf_zetam1(x) computes zeta(X) - 1 for X != 1.
*
* gsl_sf_eta(x) computes the eta function:
* eta(x) = (1 - 2^(1-x)) zeta(x).
*
* If optional argument ERR is true, the result, says Y, has an
* additional dimension of length 2 prepended to the dimension list of X
* which is used to provide an estimate of the error:
* Y(1,..) = value of F(X)
* Y(2,..) = error estimate for the value of F(X)
*
*
* SEE ALSO: gsl_sf.
*/
/*---------------------------------------------------------------------------*/
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