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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.math.optimization;
+
+import org.apache.commons.math.ConvergenceException;
+import org.apache.commons.math.FunctionEvaluationException;
+import org.apache.commons.math.ConvergingAlgorithm;
+import org.apache.commons.math.analysis.UnivariateRealFunction;
+
+
+/**
+ * Interface for (univariate real) optimization algorithms.
+ *
+ * @version $Revision: 1073658 $ $Date: 2011-02-23 10:45:42 +0100 (mer. 23 févr. 2011) $
+ * @since 2.0
+ */
+public interface UnivariateRealOptimizer extends ConvergingAlgorithm {
+
+ /** Set the maximal number of functions evaluations.
+ * @param maxEvaluations maximal number of function evaluations
+ */
+ void setMaxEvaluations(int maxEvaluations);
+
+ /** Get the maximal number of functions evaluations.
+ * @return the maximal number of functions evaluations.
+ */
+ int getMaxEvaluations();
+
+ /** Get the number of evaluations of the objective function.
+ * <p>
+ * The number of evaluations corresponds to the last call to the
+ * {@link #optimize(UnivariateRealFunction, GoalType, double, double) optimize}
+ * method. It is 0 if the method has not been called yet.
+ * </p>
+ * @return the number of evaluations of the objective function.
+ */
+ int getEvaluations();
+
+ /**
+ * Find an optimum in the given interval.
+ * <p>
+ * An optimizer may require that the interval brackets a single optimum.
+ * </p>
+ * @param f the function to optimize.
+ * @param goalType type of optimization goal: either {@link GoalType#MAXIMIZE}
+ * or {@link GoalType#MINIMIZE}.
+ * @param min the lower bound for the interval.
+ * @param max the upper bound for the interval.
+ * @return a value where the function is optimum.
+ * @throws ConvergenceException if the maximum iteration count is exceeded
+ * or the optimizer detects convergence problems otherwise.
+ * @throws FunctionEvaluationException if an error occurs evaluating the function.
+ * @throws IllegalArgumentException if min > max or the endpoints do not
+ * satisfy the requirements specified by the optimizer.
+ */
+ double optimize(UnivariateRealFunction f, GoalType goalType,
+ double min, double max)
+ throws ConvergenceException, FunctionEvaluationException;
+
+ /**
+ * Find an optimum in the given interval, start at startValue.
+ * <p>
+ * An optimizer may require that the interval brackets a single optimum.
+ * </p>
+ * @param f the function to optimize.
+ * @param goalType type of optimization goal: either {@link GoalType#MAXIMIZE}
+ * or {@link GoalType#MINIMIZE}.
+ * @param min the lower bound for the interval.
+ * @param max the upper bound for the interval.
+ * @param startValue the start value to use.
+ * @return a value where the function is optimum.
+ * @throws ConvergenceException if the maximum iteration count is exceeded
+ * or the optimizer detects convergence problems otherwise.
+ * @throws FunctionEvaluationException if an error occurs evaluating the function.
+ * @throws IllegalArgumentException if min > max or the arguments do not
+ * satisfy the requirements specified by the optimizer.
+ * @throws IllegalStateException if there are no data.
+ */
+ double optimize(UnivariateRealFunction f, GoalType goalType,
+ double min, double max, double startValue)
+ throws ConvergenceException, FunctionEvaluationException;
+
+ /**
+ * Get the result of the last run of the optimizer.
+ *
+ * @return the optimum.
+ * @throws IllegalStateException if there is no result available, either
+ * because no result was yet computed or the last attempt failed.
+ */
+ double getResult();
+
+ /**
+ * Get the result of the last run of the optimizer.
+ *
+ * @return the value of the function at the optimum.
+ * @throws FunctionEvaluationException if an error occurs evaluating the function.
+ * @throws IllegalStateException if there is no result available, either
+ * because no result was yet computed or the last attempt failed.
+ */
+ double getFunctionValue() throws FunctionEvaluationException;
+
+}