mapc_optimal.main

Classes

Main	The main problem responsible for the selection and time division of configurations

Module Contents

class mapc_optimal.main.Main(log_approx, opt_type, solver, M)

The main problem responsible for the selection and time division of configurations generated by the pricing problem.

Parameters:

• log_approx (tuple[NDArray, NDArray]) – Tuple containing the slopes and biases of the piecewise linear approximation of the logarithm function.

• opt_type (OptimizationType) – The type of optimization problem to solve.

• solver (pulp.LpSolver) – The solver used to solve the optimization problem.

• M (float) – The value of the big-M parameter.

log_approx

opt_type

solver

M

__call__(stations, link_node_b, conf_links, conf_link_rates, conf_total_rates, confs, baseline)

Solves the main problem given the configurations generated by the pricing problem. Returns the dual variables, the shares of the configurations and the value of the objective function.

Parameters:

• stations (list) – List of the station nodes.

• link_node_b (dict) – Dictionary containing the mapping of links to the station nodes.

• conf_links (dict) – Dictionary containing the links of each configuration.

• conf_link_rates (dict) – Dictionary containing the rates of each link for each configuration.

• conf_total_rates (dict) – Dictionary containing the total rate of each configuration.

• confs (list) – List of the configurations.

• baseline (dict) – Dictionary containing the baseline rates of the links.

Returns:

result – Tuple containing the results of the optimization problem and the value of the objective function.

Return type:

tuple[dict, float]