void lagrange_solve(lmm_system_t sys);
//computes the value of the dichotomy using a initial values, init, with a specific variable or constraint
static double dichotomy(double init, double diff(double, void *), void *var_cnst, double min_error);
-//computes the value of the differential of constraint param_cnst applied to lambda
+//computes the value of the differential of constraint param_cnst applied to lambda
static double partial_diff_lambda(double lambda, void *param_cnst);
static int __check_feasible(xbt_swag_t cnst_list, xbt_swag_t var_list, int warn)
XBT_DEBUG("#### cnst(%p)->lambda : %e", cnst, cnst->lambda);
}
- /*
- * Initialize the var list variable with only the active variables.
+ /*
+ * Initialize the var list variable with only the active variables.
* Associate an index in the swag variables. Initialize mu.
*/
var_list = &(sys->variable_set);
*
* @param init initial value for \mu or \lambda
* @param diff a function that computes the differential of with respect a \mu or \lambda
- * @param var_cnst a pointer to a variable or constraint
+ * @param var_cnst a pointer to a variable or constraint
* @param min_erro a minimum error tolerated
*
* @return a double corresponding to the result of the dichotomy process
// Initialize the summation variable
sigma_i = 0.0;
- // Compute sigma_i
+ // Compute sigma_i
for (j = 0; j < var->cnsts_number; j++) {
sigma_i += (var->cnsts[j].constraint)->lambda;
}
}
/** \brief Attribute the value bound to var->bound.
- *
+ *
* \param func_fpi inverse of the partial differential of f (f prime inverse, (f')^{-1})
- *
+ *
* Set default functions to the ones passed as parameters. This is a polymorphism in C pure, enjoy the roots of
* programming.
*
