// solves the proportional fairness using a Lagrangian optimization 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
-static double dichotomy(double init, double diff(double, const s_lmm_constraint_t&), const s_lmm_constraint_t& cnst,
- double min_error);
+static double dichotomy(double init, double diff(double, const Constraint&), const Constraint& cnst, double min_error);
// computes the value of the differential of constraint cnst applied to lambda
-static double partial_diff_lambda(double lambda, const s_lmm_constraint_t& cnst);
+static double partial_diff_lambda(double lambda, const Constraint& cnst);
template <class CnstList, class VarList>
static int __check_feasible(const CnstList& cnst_list, const VarList& var_list, int warn)
{
- for (s_lmm_constraint_t const& cnst : cnst_list) {
+ for (Constraint const& cnst : cnst_list) {
double tmp = 0;
- for (s_lmm_element_t const& elem : cnst.enabled_element_set) {
+ for (Element const& elem : cnst.enabled_element_set) {
lmm_variable_t var = elem.variable;
xbt_assert(var->sharing_weight > 0);
tmp += var->value;
{
double tmp = 0;
- for (s_lmm_element_t const& elem : var.cnsts) {
+ for (Element const& elem : var.cnsts) {
tmp += elem.constraint->lambda;
}
if (var.bound > 0)
double mu_i = 0.0;
double sigma_i = 0.0;
- for (s_lmm_element_t const& elem : var.cnsts) {
+ for (Element const& elem : var.cnsts) {
sigma_i += elem.constraint->lambda;
}
mu_i = var.func_fp(var, var.bound) - sigma_i;
if (not var.sharing_weight)
break;
- for (s_lmm_element_t const& elem : var.cnsts)
+ for (Element const& elem : var.cnsts)
sigma_i += elem.constraint->lambda;
if (var.bound > 0)
obj += var.mu * var.bound;
}
- for (s_lmm_constraint_t const& cnst : cnst_list)
+ for (Constraint const& cnst : cnst_list)
obj += cnst.lambda * cnst.bound;
return obj;
/* Initialize lambda. */
auto& cnst_list = sys->active_constraint_set;
- for (s_lmm_constraint_t& cnst : cnst_list) {
+ for (Constraint& cnst : cnst_list) {
cnst.lambda = 1.0;
cnst.new_lambda = 2.0;
XBT_DEBUG("#### cnst(%p)->lambda : %e", &cnst, cnst.lambda);
XBT_DEBUG("#### var(%p) ->mu : %e", &var, var.mu);
XBT_DEBUG("#### var(%p) ->weight: %e", &var, var.sharing_weight);
XBT_DEBUG("#### var(%p) ->bound: %e", &var, var.bound);
- auto weighted = std::find_if(begin(var.cnsts), end(var.cnsts),
- [](s_lmm_element_t const& x) { return x.consumption_weight != 0.0; });
+ auto weighted =
+ std::find_if(begin(var.cnsts), end(var.cnsts), [](Element const& x) { return x.consumption_weight != 0.0; });
if (weighted == end(var.cnsts))
var.value = 1.0;
}
}
/* Improve the value of lambda_i */
- for (s_lmm_constraint_t& cnst : cnst_list) {
+ for (Constraint& cnst : cnst_list) {
XBT_DEBUG("Working on cnst (%p)", &cnst);
cnst.new_lambda = dichotomy(cnst.lambda, partial_diff_lambda, cnst, dichotomy_min_error);
XBT_DEBUG("Updating lambda : cnst->lambda (%p) : %1.20f -> %1.20f", &cnst, cnst.lambda, cnst.new_lambda);
*
* @return a double corresponding to the result of the dichotomy process
*/
-static double dichotomy(double init, double diff(double, const s_lmm_constraint_t&), const s_lmm_constraint_t& cnst,
- double min_error)
+static double dichotomy(double init, double diff(double, const Constraint&), const Constraint& cnst, double min_error)
{
double min = init;
double max = init;
return ((min + max) / 2.0);
}
-static double partial_diff_lambda(double lambda, const s_lmm_constraint_t& cnst)
+static double partial_diff_lambda(double lambda, const Constraint& cnst)
{
double diff = 0.0;
XBT_CDEBUG(surf_lagrange_dichotomy, "Computing diff of cnst (%p)", &cnst);
- for (s_lmm_element_t const& elem : cnst.enabled_element_set) {
+ for (Element const& elem : cnst.enabled_element_set) {
Variable& var = *elem.variable;
xbt_assert(var.sharing_weight > 0);
XBT_CDEBUG(surf_lagrange_dichotomy, "Computing sigma_i for var (%p)", &var);
double sigma_i = 0.0;
// Compute sigma_i
- for (s_lmm_element_t const& elem2 : var.cnsts)
+ for (Element const& elem2 : var.cnsts)
sigma_i += elem2.constraint->lambda;
// add mu_i if this flow has a RTT constraint associated
* programming.
*
*/
-void lmm_set_default_protocol_function(double (*func_f)(const Variable& var, double x),
- double (*func_fp)(const Variable& var, double x),
- double (*func_fpi)(const Variable& var, double x))
+void set_default_protocol_function(double (*func_f)(const Variable& var, double x),
+ double (*func_fp)(const Variable& var, double x),
+ double (*func_fpi)(const Variable& var, double x))
{
func_f_def = func_f;
func_fp_def = func_fp;