Add linear_solver/samples/SimpleLPProgram

examples/java/SimpleProgram.java

@@ -1,40 +0,0 @@
-// Copyright 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]
-import com.google.ortools.linearsolver.MPConstraint;
-import com.google.ortools.linearsolver.MPObjective;
-import com.google.ortools.linearsolver.MPSolver;
-import com.google.ortools.linearsolver.MPVariable;
-
-public class SimpleProgram {
-  static { System.loadLibrary("jniortools"); }
-
-  public static void main(String[] args) throws Exception {
-    MPSolver solver = new MPSolver("SimpleProgram",
-        MPSolver.OptimizationProblemType.valueOf("GLOP_LINEAR_PROGRAMMING"));
-    // Create the variables x and y.
-    MPVariable x = solver.makeNumVar(0.0, 1.0, "x");
-    MPVariable y = solver.makeNumVar(0.0, 2.0, "y");
-    // Create the objective function, x + y.
-    MPObjective objective = solver.objective();
-    objective.setCoefficient(y, 1);
-    objective.setMaximization();
-    // Call the solver and display the results.
-    solver.solve();
-    System.out.println("Solution:");
-    System.out.println("x = " + x.solutionValue());
-    System.out.println("y = " + y.solutionValue());
-  }
-}
-// [END program]