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1   /*
2    * Licensed to the Hipparchus project under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The Hipparchus project licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      https://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.hipparchus.optim.nonlinear.vector.constrained;
18  
19  import org.hipparchus.linear.MatrixUtils;
20  import org.hipparchus.linear.RealMatrix;
21  import org.hipparchus.linear.RealVector;
22  import org.junit.Assert;
23  import org.junit.Test;
24  
25  public class VectorDifferentiableFunctionTest {
26  
27      @Test
28      public void testValue() {
29          // GIVEN
30          final double[] x = new double[] { 2. };
31          final TestVectorDifferentiableFunction function = new TestVectorDifferentiableFunction();
32          // WHEN
33          final double[] actualValue = function.value(x);
34          // THEN
35          final double expectedValueElement = x[0];
36          Assert.assertEquals(expectedValueElement, actualValue[0], 0);
37      }
38  
39      @Test
40      public void testGradient() {
41          // GIVEN
42          final double[] x = new double[] { 2. };
43          final TestVectorDifferentiableFunction function = new TestVectorDifferentiableFunction();
44          // WHEN
45          final RealMatrix actualGradient = function.gradient(x);
46          // THEN
47          final double expectedValueElement = 1.;
48          Assert.assertEquals(expectedValueElement, actualGradient.getEntry(0, 0), 0);
49      }
50  
51      private static class TestVectorDifferentiableFunction implements VectorDifferentiableFunction {
52  
53          @Override
54          public int dim() {
55              return 1;
56          }
57  
58          @Override
59          public int dimY() {
60              return 1;
61          }
62  
63          @Override
64          public RealVector value(RealVector x) {
65              return x;
66          }
67  
68          @Override
69          public RealMatrix jacobian(RealVector x) {
70              return MatrixUtils.createRealIdentityMatrix(x.getDimension());
71          }
72      }
73  
74  }