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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.general;
+
+/**
+ * Available choices of update formulas for the β parameter
+ * in {@link NonLinearConjugateGradientOptimizer}.
+ * <p>
+ * The &beta; parameter is used to compute the successive conjugate
+ * search directions. For non-linear conjugate gradients, there are
+ * two formulas to compute &beta;:
+ * <ul>
+ * <li>Fletcher-Reeves formula</li>
+ * <li>Polak-Ribi&egrave;re formula</li>
+ * </ul>
+ * On the one hand, the Fletcher-Reeves formula is guaranteed to converge
+ * if the start point is close enough of the optimum whether the
+ * Polak-Ribi&egrave;re formula may not converge in rare cases. On the
+ * other hand, the Polak-Ribi&egrave;re formula is often faster when it
+ * does converge. Polak-Ribi&egrave;re is often used.
+ * <p>
+ * @see NonLinearConjugateGradientOptimizer
+ * @deprecated As of 3.1 (to be removed in 4.0).
+ * @since 2.0
+ */
+@Deprecated
+public enum ConjugateGradientFormula {
+
+ /** Fletcher-Reeves formula. */
+ FLETCHER_REEVES,
+
+ /** Polak-Ribi&egrave;re formula. */
+ POLAK_RIBIERE
+
+}