MultivariateDifferentiableMultiStartOptimizer.java
- /*
- * 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;
- import org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction;
- import org.apache.commons.math3.random.RandomVectorGenerator;
- /**
- * Special implementation of the {@link MultivariateDifferentiableOptimizer}
- * interface adding multi-start features to an existing optimizer.
- *
- * This class wraps a classical optimizer to use it several times in
- * turn with different starting points in order to avoid being trapped
- * into a local extremum when looking for a global one.
- *
- * @deprecated As of 3.1 (to be removed in 4.0).
- * @since 3.1
- */
- @Deprecated
- public class MultivariateDifferentiableMultiStartOptimizer
- extends BaseMultivariateMultiStartOptimizer<MultivariateDifferentiableFunction>
- implements MultivariateDifferentiableOptimizer {
- /**
- * Create a multi-start optimizer from a single-start optimizer.
- *
- * @param optimizer Single-start optimizer to wrap.
- * @param starts Number of starts to perform (including the
- * first one), multi-start is disabled if value is less than or
- * equal to 1.
- * @param generator Random vector generator to use for restarts.
- */
- public MultivariateDifferentiableMultiStartOptimizer(final MultivariateDifferentiableOptimizer optimizer,
- final int starts,
- final RandomVectorGenerator generator) {
- super(optimizer, starts, generator);
- }
- }