Improved coverage of SQPOptimizerGM

Author: Serrof

hipparchus-optim/src/test/java/org/hipparchus/optim/nonlinear/vector/constrained/SQPOptimizerGMTest.java

@@ -1,25 +1,62 @@
-/*
- * Licensed to the Hipparchus project under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The Hipparchus project licenses this file to You 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
- *
- *      https://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.
- */
-package org.hipparchus.optim.nonlinear.vector.constrained;
-
-public class SQPOptimizerGMTest extends AbstractTestAbstractSQPOptimizerTest {
-
-    protected ConstraintOptimizer buildOptimizer() {
-        return new SQPOptimizerGM();
-    }
-
-}
+/*
+ * Licensed to the Hipparchus project under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The Hipparchus project licenses this file to You 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
+ *
+ *      https://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.
+ */
+package org.hipparchus.optim.nonlinear.vector.constrained;
+
+import org.hipparchus.optim.OptimizationData;
+import org.hipparchus.optim.nonlinear.scalar.ObjectiveFunction;
+import org.junit.Assert;
+import org.junit.Test;
+
+public class SQPOptimizerGMTest extends AbstractTestAbstractSQPOptimizerTest {
+
+    protected ConstraintOptimizer buildOptimizer() {
+        return new SQPOptimizerGM();
+    }
+
+    @Test
+    public void testWithEqualityConstraintsOnly() {
+        final QuadraticFunction q = new QuadraticFunction(new double[][] { { 1.0, 0.0 }, { 0.0, 1.0 } },
+                new double[] { 1.0, 0.0 },
+                0.0);
+
+        final LinearEqualityConstraint eqc = new LinearEqualityConstraint(new double[][] { { 1.0, 0.0 } },
+                new double[] { 1.0 });
+
+        final ConstraintOptimizer optimizer = buildOptimizer();
+        final OptimizationData[] data = new OptimizationData[] { new ObjectiveFunction(q), eqc };
+        final LagrangeSolution    solution  = optimizer.optimize(data);
+
+        Assert.assertEquals(1.5, solution.getValue(), 1.e-4);
+    }
+
+    @Test
+    public void testWithInequalityConstraintsOnly() {
+        final QuadraticFunction q = new QuadraticFunction(new double[][] { { 1.0, 0.0 }, { 0.0, 1.0 } },
+                new double[] { 1.0, 0.0 },
+                0.0);
+
+        final LinearInequalityConstraint eqc = new LinearInequalityConstraint(new double[][] { { 1.0, 0.0 } },
+                new double[] { 1.0 });
+
+        final ConstraintOptimizer optimizer = buildOptimizer();
+        final OptimizationData[] data = new OptimizationData[] { new ObjectiveFunction(q), eqc };
+        final LagrangeSolution    solution  = optimizer.optimize(data);
+
+        Assert.assertEquals(1.5, solution.getValue(), 1.e-4);
+    }
+
+}