var->value = 0.0;
var->df = 0.0;
- var->func_f = func_f_def;
- var->func_fp = func_fp_def;
+ 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));
}
DEBUG1("%s",trace_buf);
trace_buf[0]='\000';
- xbt_assert3(!double_positive(sum-cnst->bound), "Incorrect value (%f is not smaller than %f): %g",
- sum,cnst->bound,sum-cnst->bound);
+ if(double_positive(sum-cnst->bound))
+ WARN3("Incorrect value (%f is not smaller than %f): %g",
+ sum,cnst->bound,sum-cnst->bound);
}
/* Printing Result */
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");
+ if(double_positive(var->value-var->bound))
+ WARN2("Incorrect value (%f is not smaller than %f",
+ var->value, var->bound);
}
else
DEBUG3("'%p'(%f) : %f",var,var->weight,var->value);
}
-
-/** \brief Attribute the value bound to var->bound.
- *
- * \param func_f default function f associated with the chosen protocol flavor
- * \param func_fp partial differential of f (f prime, f')
- * \param func_fpi inverse of the partial differential of f (f prime inverse, (f')^{-1})
- * \param func_fpip partial differential of the inverse of the partial differential of f (f prime inverse prime, ((f')^{-1})')
- *
- * 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;
- 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, "Please report this bug.");
- // \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, "Please report this bug.");
-
- //avoid a disaster value - c'est du bricolage mais ca marche pas ....
-/* if(x == 0) x = 10e-16; */
-
- res_fpi = 1/(var->df*var->df*x) - 2/(3*var->df*var->df);
-
- //avoid a disaster value of res_fpi
- if(res_fpi < 0.0) return 0.0;
- else 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,"Please report this bug.");
-
- //avoid division by zero - c'est du bricolage mais ca marche
-/* if(x == 0) x = 10e-16; */
-
- res_fpip = 1/(var->df*var->df*x) - 2/(3*var->df*var->df);
-
- //avoid square root of negative number
- if(res_fpip < 0.0) return 0.0;
-
- //avoid division by zero
- critical_test = (2*var->df*var->df*x*x*sqrt(res_fpip));
-
-/* if(critical_test == 0.0) return 0.0; */
-/* else */ return -(1/critical_test);
-}
