decogo.solver.results

Stores the results obtained by the solver

Classes

`Results`()	A class which stores and makes some manipulations with the results.
`SubProblemData`()	A class which stores direction and columns

class decogo.solver.results.Results[source]

A class which stores and makes some manipulations with the results. The results are: primal/dual bound, primal solution point, timings, gap

__init__()[source]: Constructor method

set_new_primal_bound(primal_bound, point)[source]

Sets new primal bound and primal point.

Parameters

primal_bound (float) – Primal bound
point (BlockVector) – Point which corresponds to the primal bound

get_gap(primal_bound, dual_bound)[source]

Computes the gap in percentage between primal and dual bound

Parameters

primal_bound (float) – Primal bound
dual_bound (float) – Dual bound

Returns

Gap

Return type

float

print_results()[source]: Prints summary of results at the end of the logging process depending on the strategy

print_decomp_time_and_total_time()[source]: Prints total time and decomposition time

print_oa_stats()[source]: Prints OA stats

print_col_gen_stats()[source]: Print Column Generation stats

add_sub_problem_time(time)[source]

Accumulates sub-problem time

Parameters: time (float) – Time to add

calculate_total_time()[source]: Calculates total time

add_sub_problem_data(block_id, dir_im_space, dir_orig_space, column, point, ia_sol)[source]: “Add sub-problem data by calling SubProblemData.add_data()

class decogo.solver.results.SubProblemData[source]

A class which stores direction and columns

__init__()[source]: Constructor method

__getitem__(item)[source]

Index operator

Parameters: item (tuple) – Given index as tuple (block_id, index)
Returns: tuple (point, column), i.e point and corresponding column
Return type: tuple

add_data_im_space(block_id, dir_im_space, column)[source]

Add sub-problem data

Parameters

block_id (int) – Block identifier
dir_im_space (ndarray) – Given direction
column (ndarray) – Given column

Returns

Tuple which containes direction, column

Return type

tuple

add_data_orig_space(block_id, dir_orig_space, point, ia_sol=None)[source]

Add sub-problem data

Parameters

block_id (int) – Block identifier
dir_orig_space (ndarray) – Given direction
point (ndarray) – Given point

Returns

Tuple which containes direction, point

Return type

tuple

export_data(folder_name='data', exact_solver=False)[source]