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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.optim;
+
+import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.exception.NumberIsTooLargeException;
+import org.apache.commons.math3.exception.NumberIsTooSmallException;
+
+/**
+ * Base class for implementing optimizers for multivariate functions. It contains the boiler-plate
+ * code for initial guess and bounds specifications. <em>It is not a "user" class.</em>
+ *
+ * @param <PAIR> Type of the point/value pair returned by the optimization algorithm.
+ * @since 3.1
+ */
+public abstract class BaseMultivariateOptimizer<PAIR> extends BaseOptimizer<PAIR> {
+ /** Initial guess. */
+ private double[] start;
+
+ /** Lower bounds. */
+ private double[] lowerBound;
+
+ /** Upper bounds. */
+ private double[] upperBound;
+
+ /**
+ * @param checker Convergence checker.
+ */
+ protected BaseMultivariateOptimizer(ConvergenceChecker<PAIR> checker) {
+ super(checker);
+ }
+
+ /**
+ * {@inheritDoc}
+ *
+ * @param optData Optimization data. In addition to those documented in {@link
+ * BaseOptimizer#parseOptimizationData(OptimizationData[]) BaseOptimizer}, this method will
+ * register the following data:
+ * <ul>
+ * <li>{@link InitialGuess}
+ * <li>{@link SimpleBounds}
+ * </ul>
+ *
+ * @return {@inheritDoc}
+ */
+ @Override
+ public PAIR optimize(OptimizationData... optData) {
+ // Perform optimization.
+ return super.optimize(optData);
+ }
+
+ /**
+ * Scans the list of (required and optional) optimization data that characterize the problem.
+ *
+ * @param optData Optimization data. The following data will be looked for:
+ * <ul>
+ * <li>{@link InitialGuess}
+ * <li>{@link SimpleBounds}
+ * </ul>
+ */
+ @Override
+ protected void parseOptimizationData(OptimizationData... optData) {
+ // Allow base class to register its own data.
+ super.parseOptimizationData(optData);
+
+ // The existing values (as set by the previous call) are reused if
+ // not provided in the argument list.
+ for (OptimizationData data : optData) {
+ if (data instanceof InitialGuess) {
+ start = ((InitialGuess) data).getInitialGuess();
+ continue;
+ }
+ if (data instanceof SimpleBounds) {
+ final SimpleBounds bounds = (SimpleBounds) data;
+ lowerBound = bounds.getLower();
+ upperBound = bounds.getUpper();
+ continue;
+ }
+ }
+
+ // Check input consistency.
+ checkParameters();
+ }
+
+ /**
+ * Gets the initial guess.
+ *
+ * @return the initial guess, or {@code null} if not set.
+ */
+ public double[] getStartPoint() {
+ return start == null ? null : start.clone();
+ }
+
+ /**
+ * @return the lower bounds, or {@code null} if not set.
+ */
+ public double[] getLowerBound() {
+ return lowerBound == null ? null : lowerBound.clone();
+ }
+
+ /**
+ * @return the upper bounds, or {@code null} if not set.
+ */
+ public double[] getUpperBound() {
+ return upperBound == null ? null : upperBound.clone();
+ }
+
+ /** Check parameters consistency. */
+ private void checkParameters() {
+ if (start != null) {
+ final int dim = start.length;
+ if (lowerBound != null) {
+ if (lowerBound.length != dim) {
+ throw new DimensionMismatchException(lowerBound.length, dim);
+ }
+ for (int i = 0; i < dim; i++) {
+ final double v = start[i];
+ final double lo = lowerBound[i];
+ if (v < lo) {
+ throw new NumberIsTooSmallException(v, lo, true);
+ }
+ }
+ }
+ if (upperBound != null) {
+ if (upperBound.length != dim) {
+ throw new DimensionMismatchException(upperBound.length, dim);
+ }
+ for (int i = 0; i < dim; i++) {
+ final double v = start[i];
+ final double hi = upperBound[i];
+ if (v > hi) {
+ throw new NumberIsTooLargeException(v, hi, true);
+ }
+ }
+ }
+ }
+ }
+}