|
| | ABSL_FLAG (std::string, input, "", "REQUIRED: Input file name.") |
| | Display statistics about trail4284_1B.txt:
|
| | ABSL_FLAG (std::string, input_fmt, "", "REQUIRED: Input file format. Either proto, proto_bin, rail, " "orlib or fimi.") |
| | ABSL_FLAG (std::string, output, "", "If non-empty, write the returned solution to the given file.") |
| | ABSL_FLAG (std::string, output_fmt, "", "If out is non-empty, use the given format for the output.") |
| | ABSL_FLAG (bool, generate, false, "Generate a new model from the input model.") |
| | ABSL_FLAG (int, num_elements_wanted, 0, "Number of elements wanted in the new generated model.") |
| | ABSL_FLAG (int, num_subsets_wanted, 0, "Number of subsets wanted in the new generated model.") |
| | ABSL_FLAG (float, row_scale, 1.0, "Row scale for the new generated model.") |
| | ABSL_FLAG (float, column_scale, 1.0, "Column scale for the new generated model.") |
| | ABSL_FLAG (float, cost_scale, 1.0, "Cost scale for the new generated model.") |
| | ABSL_FLAG (bool, unicost, false, "Set all costs to 1.0.") |
| | ABSL_FLAG (bool, latex, false, "Output in LaTeX format. CSV otherwise.") |
| | ABSL_FLAG (bool, solve, false, "Solve the model.") |
| | ABSL_FLAG (bool, stats, false, "Log stats about the model.") |
| | ABSL_FLAG (bool, summarize, false, "Display the comparison of the solution generators.") |
| | ABSL_FLAG (bool, tlns, false, "Run thrifty LNS.") |
| | ABSL_FLAG (int, max_elements_for_classic, 5000, "Do not use classic on larger problems.") |
| | ABSL_FLAG (bool, benchmarks, false, "Run benchmarks.") |
| | ABSL_FLAG (std::string, benchmarks_dir, "", "Benchmarks directory.") |
| | ABSL_FLAG (bool, collate_scp, false, "Collate the SCP benchmarks.") |
| int64_t | operations_research::RunTimeInMicroseconds (const SetCoverSolutionGenerator &gen) |
| int64_t | operations_research::RunTimeInNanoseconds (const SetCoverSolutionGenerator &gen) |
| void | operations_research::LogStats (const SetCoverModel &model) |
| void | operations_research::LogCostAndTiming (const absl::string_view problem_name, absl::string_view alg_name, const SetCoverInvariant &inv, int64_t run_time) |
| void | operations_research::LogCostAndTiming (const SetCoverSolutionGenerator &generator) |
| FileFormat | operations_research::ParseFileFormat (const std::string &format_name) |
| SetCoverModel | operations_research::ReadModel (absl::string_view filename, FileFormat format) |
| SubsetBoolVector | operations_research::ReadSolution (absl::string_view filename, FileFormat format) |
| void | operations_research::WriteModel (const SetCoverModel &model, const std::string &filename, FileFormat format) |
| void | operations_research::WriteSolution (const SetCoverModel &model, const SubsetBoolVector &solution, absl::string_view filename, FileFormat format) |
| SetCoverInvariant | operations_research::RunLazyElementDegree (SetCoverModel *model) |
| SetCoverInvariant | operations_research::RunGreedy (SetCoverModel *model) |
| std::vector< BenchmarksTableRow > | operations_research::BenchmarksTable () |
| void | operations_research::Benchmarks () |
| void | operations_research::Run () |
| int | main (int argc, char **argv) |
| ABSL_FLAG |
( |
std::string | , |
|
|
input | , |
|
|
"" | , |
|
|
"REQUIRED: Input file name." | ) |
Display statistics about trail4284_1B.txt:
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Example usages:
Solve all the problems in the benchmarks directory and produce LaTeX output. Run the classic algorithms on problem with up to 100,000 elements. Display summaries (with geomean ratios) for each group of problems. Generate a new model from the rail4284 problem, with 100,000 elements and 1,000,000,000 subsets, with row_scale = 1.1, column_scale = 1.1, and cost_scale = 10.0:
1.14.0