func_fpip_def = func_fpip;
}
-
-/*
- * NOTE for Reno: all functions consider the network
- * coeficient (alpha) equal to 1.
- */
-
-/*
- * For Vegas f: $\alpha_f d_f \log\left(x_f\right)$
- */
-double func_vegas_f(lmm_variable_t var, double x){
- return var->df * log(x);
-}
-
-/*
- * For Vegas fp: $\frac{\alpha D_f}{x}$
- */
-double func_vegas_fp(lmm_variable_t var, double x){
- //avoid a disaster value - c'est du bricolage mais ca marche
-/* if(x == 0) x = 10e-8; */
- return var->df/x;
-}
-
-/*
- * For Vegas fpi: $\frac{\alpha D_f}{x}$
- */
-double func_vegas_fpi(lmm_variable_t var, double x){
- //avoid a disaster value - c'est du bricolage mais ca marche
-/* if(x == 0) x = 10e-8; */
- return var->df/x;
-}
-
-/*
- * For Vegas fpip: $-\frac{\alpha D_f}{x^2}$
- */
-double func_vegas_fpip(lmm_variable_t var, double x){
- //avoid a disaster value - c'est du bricolage mais ca marche
-/* if(x == 0) x = 10e-8; */
- return -( var->df/(x*x) ) ;
-}
-
-
-/*
- * For Reno f: $\frac{\sqrt{\frac{3}{2}}}{D_f} \arctan\left(\sqrt{\frac{3}{2}}x_f D_f\right)$
- */
-double func_reno_f(lmm_variable_t var, double x){
- xbt_assert0(var->df>0.0,"Don't call me with stupid values!");
- // \sqrt{3/2} = 0.8164965808
- return (0.8164965808 / var->df) * atan( (0.8164965808 / var->df)*x );
-}
-
-/*
- * For Reno fp: $\frac{3}{3 {D_f}^2 x^2 + 2}$
- */
-double func_reno_fp(lmm_variable_t var, double x){
- return 3 / (3*var->df*var->df*x*x + 2);
-}
-
-/*
- * For Reno fpi: $\sqrt{\frac{1}{{D_f}^2 x} - \frac{2}{3{D_f}^2}}$
- */
-double func_reno_fpi(lmm_variable_t var, double x){
- double res_fpi;
-
- xbt_assert0(var->df>0.0,"Don't call me with stupid values!");
- xbt_assert0(x>0.0,"Don't call me with stupid values!");
-
- res_fpi = 1/(var->df*var->df*x) - 2/(3*var->df*var->df);
- if(res_fpi<=0.0) return 0.0;
- xbt_assert0(res_fpi>0.0,"Don't call me with stupid values!");
- return sqrt(res_fpi);
-}
-
-/*
- * For Reno fpip: $-\frac{1}{2 {D_f}^2 x^2\sqrt{\frac{1}{{D_f}^2 x} - \frac{2}{3{D_f}^2}}}$
- */
-double func_reno_fpip(lmm_variable_t var, double x){
- double res_fpip;
- double critical_test;
-
- xbt_assert0(var->df>0.0,"Don't call me with stupid values!");
- xbt_assert0(x>0.0,"Don't call me with stupid values!");
-
- res_fpip = 1/(var->df*var->df*x) - 2/(3*var->df*var->df);
- xbt_assert0(res_fpip>0.0,"Don't call me with stupid values!");
- critical_test = (2*var->df*var->df*x*x*sqrt(res_fpip));
-
- return -(1.0/critical_test);
-}
