Files
ortools-clone/ortools/linear_solver/samples/LinearProgrammingExample.cs
2020-10-29 14:26:41 +01:00

71 lines
2.4 KiB
C#

// 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.
// [START program]
using System;
using Google.OrTools.LinearSolver;
public class LinearProgrammingExample {
static void Main() {
// [START solver]
Solver solver = Solver.CreateSolver("GLOP");
// [END solver]
// x and y are continuous non-negative variables.
// [START variables]
Variable x = solver.MakeNumVar(0.0, double.PositiveInfinity, "x");
Variable y = solver.MakeNumVar(0.0, double.PositiveInfinity, "y");
// [END variables]
// [START constraints]
// x + 2y <= 14.
Constraint c0 = solver.MakeConstraint(double.NegativeInfinity, 14.0);
c0.SetCoefficient(x, 1);
c0.SetCoefficient(y, 2);
// 3x - y >= 0.
Constraint c1 = solver.MakeConstraint(0.0, double.PositiveInfinity);
c1.SetCoefficient(x, 3);
c1.SetCoefficient(y, -1);
// x - y <= 2.
Constraint c2 = solver.MakeConstraint(double.NegativeInfinity, 2.0);
c2.SetCoefficient(x, 1);
c2.SetCoefficient(y, -1);
// [END constraints]
// [START objective]
// Objective function: 3x + 4y.
Objective objective = solver.Objective();
objective.SetCoefficient(x, 3);
objective.SetCoefficient(y, 4);
objective.SetMaximization();
// [END objective]
// [START solve]
solver.Solve();
// [END solve]
// [START print_solution]
Console.WriteLine("Number of variables = " + solver.NumVariables());
Console.WriteLine("Number of constraints = " + solver.NumConstraints());
// The value of each variable in the solution.
Console.WriteLine("Solution:");
Console.WriteLine("x = " + x.SolutionValue());
Console.WriteLine("y = " + y.SolutionValue());
// The objective value of the solution.
Console.WriteLine("Optimal objective value = " + solver.Objective().Value());
// [END print_solution]
}
}
// [END program]