52 lines
1.8 KiB
Java
52 lines
1.8 KiB
Java
// Copyright 2010-2022 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package com.google.ortools.sat.samples;
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import com.google.ortools.Loader;
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import com.google.ortools.sat.CpModel;
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import com.google.ortools.sat.CpSolver;
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import com.google.ortools.sat.CpSolverStatus;
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import com.google.ortools.sat.IntVar;
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import com.google.ortools.sat.LinearExpr;
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/** Non linear examples using the addMultiplicationEquality(). */
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public class NonLinearSat {
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public static void main(String[] args) throws Exception {
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Loader.loadNativeLibraries();
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CpModel model = new CpModel();
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final int perimeter = 20;
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IntVar x = model.newIntVar(0, perimeter, "x");
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IntVar y = model.newIntVar(0, perimeter, "y");
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model.addEquality(LinearExpr.weightedSum(new IntVar[] {x, y}, new long[] {2, 2}), perimeter);
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IntVar area = model.newIntVar(0, perimeter * perimeter, "s");
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model.addMultiplicationEquality(area, x, y);
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model.maximize(area);
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CpSolver solver = new CpSolver();
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CpSolverStatus status = solver.solve(model);
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if (status == CpSolverStatus.OPTIMAL || status == CpSolverStatus.FEASIBLE) {
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System.out.println("x = " + solver.value(x));
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System.out.println("y = " + solver.value(y));
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System.out.println("s = " + solver.value(area));
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} else {
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System.out.println("No solution found");
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}
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}
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}
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