From: alegrand Date: Wed, 25 Jul 2007 12:41:09 +0000 (+0000) Subject: * Hiding private functions X-Git-Tag: v3.3~1471 X-Git-Url: http://info.iut-bm.univ-fcomte.fr/pub/gitweb/simgrid.git/commitdiff_plain/3bb6778fc75db048df1084e35f236f2bbdff438d * Hiding private functions * bug found in the dichotomy git-svn-id: svn+ssh://scm.gforge.inria.fr/svn/simgrid/simgrid/trunk@3889 48e7efb5-ca39-0410-a469-dd3cf9ba447f --- diff --git a/src/surf/lagrange.c b/src/surf/lagrange.c index cb0af1b3dc..41b022a663 100644 --- a/src/surf/lagrange.c +++ b/src/surf/lagrange.c @@ -28,14 +28,14 @@ XBT_LOG_NEW_SUBCATEGORY(surf_lagrange_dichotomy, surf_lagrange, //solves the proportional fairness using a lagrange optimizition with dichotomy step void lagrange_solve(lmm_system_t sys); //computes the value of the dichotomy using a initial values, init, with a specific variable or constraint -double dichotomy(double init, double diff(double, void *), void *var_cnst, - double min_error); +static double dichotomy(double init, double diff(double, void *), void *var_cnst, + double min_error); //computes the value of the differential of variable param_var applied to mu -double partial_diff_mu(double mu, void *param_var); +static double partial_diff_mu(double mu, void *param_var); //computes the value of the differential of constraint param_cnst applied to lambda -double partial_diff_lambda(double lambda, void *param_cnst); +static double partial_diff_lambda(double lambda, void *param_cnst); //auxiliar function to compute the partial_diff -double diff_aux(lmm_variable_t var, double x); +static double diff_aux(lmm_variable_t var, double x); static int __check_feasible(xbt_swag_t cnst_list, xbt_swag_t var_list, int warn) @@ -265,8 +265,8 @@ void lagrange_solve(lmm_system_t sys) * * @return a double correponding to the result of the dichotomyal process */ -double dichotomy(double init, double diff(double, void *), void *var_cnst, - double min_error) +static double dichotomy(double init, double diff(double, void *), void *var_cnst, + double min_error) { double min, max; double overall_error; @@ -325,9 +325,9 @@ double dichotomy(double init, double diff(double, void *), void *var_cnst, CDEBUG1(surf_lagrange_dichotomy, "Trying (max+min)/2 : %1.20f",middle); if((min==middle) || (max==middle)) { - CWARN2(surf_lagrange_dichotomy,"Cannot improve the convergence! min=max=middle=%1.20f, diff = %1.20f." - " Reaching the 'double' limits. Maybe scaling your function would help.", - min, max-min); + CWARN4(surf_lagrange_dichotomy,"Cannot improve the convergence! min=max=middle=%1.20f, diff = %1.20f." + " Reaching the 'double' limits. Maybe scaling your function would help ([%1.20f,%1.20f]).", + min, max-min, min_diff,max_diff); break; } middle_diff = diff(middle, var_cnst); @@ -336,12 +336,12 @@ double dichotomy(double init, double diff(double, void *), void *var_cnst, CDEBUG0(surf_lagrange_dichotomy, "Increasing min"); min = middle; min_diff = middle_diff; - overall_error = max-middle_diff; + overall_error = max_diff-middle_diff; } else if (middle_diff > 0) { CDEBUG0(surf_lagrange_dichotomy, "Decreasing max"); max = middle; max_diff = middle_diff; - overall_error = max-middle_diff; + overall_error = max_diff-middle_diff; } else { overall_error = 0; } @@ -371,7 +371,7 @@ double dichotomy(double init, double diff(double, void *), void *var_cnst, /* * */ -double partial_diff_mu(double mu, void *param_var) +static double partial_diff_mu(double mu, void *param_var) { double mu_partial = 0.0; double sigma_mu = 0.0; @@ -398,7 +398,7 @@ double partial_diff_mu(double mu, void *param_var) /* * */ -double partial_diff_lambda(double lambda, void *param_cnst) +static double partial_diff_lambda(double lambda, void *param_cnst) { int i; @@ -446,7 +446,7 @@ double partial_diff_lambda(double lambda, void *param_cnst) } -double diff_aux(lmm_variable_t var, double x) +static double diff_aux(lmm_variable_t var, double x) { double tmp_fpi, result; @@ -494,7 +494,7 @@ double func_vegas_fpi(lmm_variable_t var, double x){ * For Reno: $f(x) = \frac{\sqrt{3/2}}{D_f} atan(\sqrt{3/2}D_f x)$ * Therefore: $fpi(x) = \sqrt{\frac{1}{{D_f}^2 x} - \frac{2}{3{D_f}^2}}$ */ -#define RENO_SCALING 1000.0 +#define RENO_SCALING 1.0 double func_reno_fpi(lmm_variable_t var, double x){ double res_fpi;