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diff --git a/src/main/java/org/apache/commons/math3/optimization/direct/BaseAbstractMultivariateSimpleBoundsOptimizer.java b/src/main/java/org/apache/commons/math3/optimization/direct/BaseAbstractMultivariateSimpleBoundsOptimizer.java
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF 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
+ *
+ *      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.
+ */
+
+package org.apache.commons.math3.optimization.direct;
+
+import org.apache.commons.math3.analysis.MultivariateFunction;
+import org.apache.commons.math3.optimization.BaseMultivariateOptimizer;
+import org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer;
+import org.apache.commons.math3.optimization.GoalType;
+import org.apache.commons.math3.optimization.InitialGuess;
+import org.apache.commons.math3.optimization.SimpleBounds;
+import org.apache.commons.math3.optimization.PointValuePair;
+import org.apache.commons.math3.optimization.ConvergenceChecker;
+
+/**
+ * Base class for implementing optimizers for multivariate scalar functions,
+ * subject to simple bounds: The valid range of the parameters is an interval.
+ * The interval can possibly be infinite (in one or both directions).
+ * This base class handles the boiler-plate methods associated to thresholds
+ * settings, iterations and evaluations counting.
+ *
+ * @param <FUNC> Type of the objective function to be optimized.
+ *
+ * @deprecated As of 3.1 (to be removed in 4.0).
+ * @since 3.0
+ * @deprecated As of 3.1 since the {@link BaseAbstractMultivariateOptimizer
+ * base class} contains similar functionality.
+ */
+@Deprecated
+public abstract class BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>
+    extends BaseAbstractMultivariateOptimizer<FUNC>
+    implements BaseMultivariateOptimizer<FUNC>,
+               BaseMultivariateSimpleBoundsOptimizer<FUNC> {
+    /**
+     * Simple constructor with default settings.
+     * The convergence checker is set to a
+     * {@link org.apache.commons.math3.optimization.SimpleValueChecker}.
+     *
+     * @see BaseAbstractMultivariateOptimizer#BaseAbstractMultivariateOptimizer()
+     * @deprecated See {@link org.apache.commons.math3.optimization.SimpleValueChecker#SimpleValueChecker()}
+     */
+    @Deprecated
+    protected BaseAbstractMultivariateSimpleBoundsOptimizer() {}
+
+    /**
+     * @param checker Convergence checker.
+     */
+    protected BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair> checker) {
+        super(checker);
+    }
+
+    /** {@inheritDoc} */
+    @Override
+    public PointValuePair optimize(int maxEval, FUNC f, GoalType goalType,
+                                   double[] startPoint) {
+        return super.optimizeInternal(maxEval, f, goalType,
+                                      new InitialGuess(startPoint));
+    }
+
+    /** {@inheritDoc} */
+    public PointValuePair optimize(int maxEval, FUNC f, GoalType goalType,
+                                   double[] startPoint,
+                                   double[] lower, double[] upper) {
+        return super.optimizeInternal(maxEval, f, goalType,
+                                      new InitialGuess(startPoint),
+                                      new SimpleBounds(lower, upper));
+    }
+}