X-Git-Url: http://info.iut-bm.univ-fcomte.fr/pub/gitweb/simgrid.git/blobdiff_plain/0eb371ccd29974a375f8c6526b1ba14946997662..412f2a1c298a4fa51275e0d68f02ee787568432b:/src/surf/maxmin.c diff --git a/src/surf/maxmin.c b/src/surf/maxmin.c index b91599c244..ee52f232ac 100644 --- a/src/surf/maxmin.c +++ b/src/surf/maxmin.c @@ -176,10 +176,7 @@ lmm_variable_t lmm_variable_new(lmm_system_t sys, void *id, var->value = 0.0; var->df = 0.0; - var->func_f = func_f_def; - var->func_fp = func_fp_def; var->func_fpi = func_fpi_def; - var->func_fpip = func_fpip_def; if(weight) xbt_swag_insert_at_head(var,&(sys->variable_set)); else xbt_swag_insert_at_tail(var,&(sys->variable_set)); @@ -395,7 +392,8 @@ void lmm_print(lmm_system_t sys) xbt_swag_foreach(var, var_list) { if(var->bound>0) { DEBUG4("'%p'(%f) : %f (<=%f)",var,var->weight,var->value, var->bound); - xbt_assert0(!double_positive(var->value-var->bound), "Incorrect value"); + xbt_assert2(!double_positive(var->value-var->bound), "Incorrect value (%f is not smaller than %f", + var->value, var->bound); } else DEBUG3("'%p'(%f) : %f",var,var->weight,var->value); @@ -635,103 +633,8 @@ lmm_constraint_t lmm_get_next_active_constraint(lmm_system_t sys, lmm_constraint * Set default functions to the ones passed as parameters. This is a polimorfism in C pure, enjoy the roots of programming. * */ -void lmm_set_default_protocol_functions(double (* func_f) (lmm_variable_t var, double x), - double (* func_fp) (lmm_variable_t var, double x), - double (* func_fpi) (lmm_variable_t var, double x), - double (* func_fpip) (lmm_variable_t var, double x)) - -{ - func_f_def = func_f; - func_fp_def = func_fp; +void lmm_set_default_protocol_functions(double (* func_fpi) (lmm_variable_t var, double x)) +{ func_fpi_def = func_fpi; - 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); -}