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// Copyright 2010-2018 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.
// Minimal example to call the GLOP solver.
// [START program]
// [START import]
#include "ortools/linear_solver/linear_solver.h"
// [END import]
namespace operations_research {
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// [START solver]
// Create the linear solver with the GLOP backend.
MPSolver solver("simple_lp_program", MPSolver::GLOP_LINEAR_PROGRAMMING);
// [END solver]
// [START variables]
// Create the variables x and y.
MPVariable* const x = solver.MakeNumVar(0.0, 1, "x");
MPVariable* const y = solver.MakeNumVar(0.0, 2, "y");
LOG(INFO) << "Number of variables = " << solver.NumVariables();
// [END variables]
// [START constraints]
// Create a linear constraint, 0 <= x + y <= 2.
MPConstraint* const ct = solver.MakeRowConstraint(0.0, 2.0, "ct");
ct->SetCoefficient(x, 1);
ct->SetCoefficient(y, 1);
LOG(INFO) << "Number of constraints = " << solver.NumConstraints();
// [END constraints]
// [START objective]
// Create the objective function, 3 * x + y.
MPObjective* const objective = solver.MutableObjective();
objective->SetCoefficient(x, 3);
objective->SetCoefficient(y, 1);
objective->SetMaximization();
// [END objective]
// [START solve]
solver.Solve();
// [END solve]
// [START print_solution]
LOG(INFO) << "Solution:" << std::endl;
LOG(INFO) << "Objective value = " << objective->Value();
LOG(INFO) << "x = " << x->solution_value();
LOG(INFO) << "y = " << y->solution_value();
// [END print_solution]
}
} // namespace operations_research
int main() {