Definition at line 15 of file GLPK.h.
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static GLPK | ContinuousRelaxation () |
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static Model | read_from_file (Env &t_env, const std::string &t_filename) |
◆ as() [1/2]
template<class T>
| T & idol::OptimizerFactory::as |
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| ) |
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inlineinherited |
◆ as() [2/2]
template<class T>
| const T & idol::OptimizerFactory::as |
( |
| ) |
const |
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inlineinherited |
◆ clone()
| GLPK * idol::GLPK::clone |
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const |
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nodiscardoverridevirtual |
Creates and return a copy of the optimizer factory. This is used for polymorphism.
- Returns
- A copied object of the current object (i.e., *this)
Implements idol::OptimizerFactory.
◆ conditional()
Executes the lambda function given as second parameter if and only if its first argument is true. This function can be used to build different optimizer factories depending on some external variable.
Example:
for (const bool use_presolve : {true, false}) {
.
conditional(use_presolve, [](
auto& x){ x.with_presolve(
true); })
model.use(algorithm);
model.optimize();
}
CRTP & conditional(bool t_conditional_value, const std::function< void(CRTP &)> &t_if)
- Parameters
-
| t_conditional_value | if true, the t_if lambda function is executed, if false, nothing happens. |
| t_if | lambda function to execute in case t_conditional_value is true |
- Returns
- the optimizer factory itself
Definition at line 239 of file OptimizerFactory.h.
◆ crtp()
◆ handle_default_parameters()
◆ is()
template<class T>
| bool idol::OptimizerFactory::is |
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| ) |
const |
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inlinenodiscardinherited |
◆ operator()()
Creates and returns a new optimizer to solve the model given as parameter.
- Parameters
-
| t_model | The model which the optimizer will solve |
- Returns
- A new optimizer for the model
Implements idol::OptimizerFactory.
◆ with_absolute_gap_tolerance()
Sets the absolute gap tolerance for the optimizer. When the optimizer proves that the absolute optimality gap is less than this threshold, the optimizer stops.
Example:
auto algorithm = GLPK()
.with_absolute_gap_tolerance(1e-4);
- Parameters
-
| t_absolute_gap_tolerance | the absolute gap tolerance |
- Returns
- the optimizer factory itself
Definition at line 193 of file OptimizerFactory.h.
◆ with_best_bound_stop()
Sets a threshold on the best bound for stopping the optimizer. When the optimizer have found a best bound which is greater than this threshold, the optimizer stops.
Example:
const double my_known_best_obj = 0.;
auto algorithm = GLPK()
.with_best_bound_stop(my_known_best_obj);
- Parameters
-
| t_best_bound_stop | the threshold |
- Returns
- the optimizer factory itself
Definition at line 150 of file OptimizerFactory.h.
◆ with_best_obj_stop()
Sets a threshold on the best objective value for stopping the optimizer. When the optimizer have found a best objective value which is less than this threshold, the optimizer stops.
Example:
const double my_known_best_bound = 0;
auto algorithm = GLPK()
.with_best_obj_stop(my_known_best_bound);
- Parameters
-
| t_user_best_obj | the threshold |
- Returns
- the optimizer factory itself
Definition at line 165 of file OptimizerFactory.h.
◆ with_infeasible_or_unbounded_info()
Sets the behaviour of the optimizer when a model is shown to be infeasible or unbounded. When set to true, the optimizer is forced to prove feasibility or unboundedness by providing a certificate.
Example:
auto algorithm = GLPK()
.with_infeasible_or_unbounded_info(true);
- Parameters
-
| t_value | the activation level |
- Returns
- the optimizer factory itself
Definition at line 220 of file OptimizerFactory.h.
◆ with_iteration_limit()
Sets the maximum number of iterations which the optimizer go through
Example:
auto algorithm = GLPK()
.with_iteration_limit(200);
- Parameters
-
| t_iteration_count_limit | the maximum number of iterations |
- Returns
- the optimizer factory itself
Definition at line 135 of file OptimizerFactory.h.
◆ with_logs()
Sets the log_master level and color for the optimizer
Example:
auto algorithm = GLPK()
.with_logs(true);
- Parameters
-
| t_log_level | the log_master level |
| t_log_color | the output color |
- Returns
- the optimizer factory itself
Definition at line 96 of file OptimizerFactory.h.
◆ with_presolve()
Sets the get_param_presolve activation for the optimizer.
Example:
auto algorithm = GLPK()
.with_presolve(false);
- Parameters
-
| t_value | the activation level for the optimizer's get_param_presolve (0 for disabling, 1 for enabling) |
- Returns
- the optimizer factory itself
Definition at line 206 of file OptimizerFactory.h.
◆ with_relative_gap_tolerance()
Sets the relative gap tolerance for the optimizer. When the optimizer proves that the relative optimality gap is less than this threshold, the optimizer stops.
Example:
auto algorithm = GLPK()
.with_relative_gap_tolerance(.05);
- Parameters
-
| t_relative_gap_tolerance | the relative gap tolerance |
- Returns
- the optimizer factory itself
Definition at line 179 of file OptimizerFactory.h.
◆ with_thread_limit()
Sets the maximum number of threads which the optimizer can use
Example:
auto algorithm = GLPK()
.with_thread_limit(5);
- Parameters
-
| t_max_n_threads | the number of threads which can be used |
- Returns
- the optimizer factory itself
Definition at line 122 of file OptimizerFactory.h.
◆ with_time_limit()
Sets the time limit for the optimizer
Example:
auto algorithm = GLPK()
.with_time_limit(3600);
- Parameters
-
| t_time_limit | the time limit (in seconds) |
- Returns
- the optimizer factory itself
Definition at line 109 of file OptimizerFactory.h.