// Copyright 2010-2025 Google LLC // 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 // // http://www.apache.org/licenses/LICENSE-2.0 // // 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. // [START program] // From Taha 'Introduction to Operations Research', example 6.4-2.""" // [START import] #include #include #include #include #include "absl/base/log_severity.h" #include "absl/log/globals.h" #include "absl/log/log.h" #include "ortools/base/init_google.h" #include "ortools/graph/max_flow.h" // [END import] namespace operations_research { // MaxFlow simple interface example. void SimpleMaxFlowProgram() { // [START solver] // Instantiate a SimpleMaxFlow solver. SimpleMaxFlow max_flow; // [END solver] // [START data] // Define three parallel arrays: start_nodes, end_nodes, and the capacities // between each pair. For instance, the arc from node 0 to node 1 has a // capacity of 20. std::vector start_nodes = {0, 0, 0, 1, 1, 2, 2, 3, 3}; std::vector end_nodes = {1, 2, 3, 2, 4, 3, 4, 2, 4}; std::vector capacities = {20, 30, 10, 40, 30, 10, 20, 5, 20}; // [END data] // [START constraints] // Add each arc. for (int i = 0; i < start_nodes.size(); ++i) { max_flow.AddArcWithCapacity(start_nodes[i], end_nodes[i], capacities[i]); } // [END constraints] // [START solve] // Find the maximum flow between node 0 and node 4. int status = max_flow.Solve(0, 4); // [END solve] // [START print_solution] if (status == SimpleMaxFlow::OPTIMAL) { LOG(INFO) << "Max flow: " << max_flow.OptimalFlow(); LOG(INFO) << ""; LOG(INFO) << " Arc Flow / Capacity"; for (std::size_t i = 0; i < max_flow.NumArcs(); ++i) { LOG(INFO) << max_flow.Tail(i) << " -> " << max_flow.Head(i) << " " << max_flow.Flow(i) << " / " << max_flow.Capacity(i); } } else { LOG(INFO) << "Solving the max flow problem failed. Solver status: " << status; } // [END print_solution] } } // namespace operations_research int main(int argc, char* argv[]) { InitGoogle(argv[0], &argc, &argv, true); absl::SetStderrThreshold(absl::LogSeverityAtLeast::kInfo); operations_research::SimpleMaxFlowProgram(); return EXIT_SUCCESS; } // [END program]