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.hipparchus.optim.OptimizationData;
23 import org.hipparchus.util.MathUtils;
24
25 /** Set of linear inequality constraints expressed as \( A x \gt B\).
26 * @since 3.1
27 */
28 public class LinearInequalityConstraint extends InequalityConstraint implements OptimizationData {
29
30 /** Corresponding set of individual linear constraint functions. */
31 private final RealMatrix a;
32
33 /**
34 * Construct a set of linear inequality constraints from \( A x \gt B\).
35 * @param a A matrix linear coefficient vectors
36 * @param b A vector of constants
37 */
38 public LinearInequalityConstraint(final RealMatrix a, final RealVector b) {
39 super(b);
40 MathUtils.checkDimension(b.getDimension(), a.getRowDimension());
41 this.a = a;
42 }
43
44 /**
45 * Construct a set of linear inequality constraints from Ax > B
46 * @param a A matrix linear coefficient vectors
47 * @param b A vector of constants
48 */
49 public LinearInequalityConstraint(final double[][] a, final double[] b) {
50 this(MatrixUtils.createRealMatrix(a), MatrixUtils.createRealVector(b));
51 }
52
53 @Override
54 public int dim() {
55 return a.getColumnDimension();
56 }
57
58 @Override
59 public RealVector value(RealVector x) {
60 return a.operate(x);
61 }
62
63 @Override
64 public RealMatrix jacobian(RealVector x) {
65 return a.copy();
66 }
67
68 }