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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.fitting;
+
+import java.util.Arrays;
+import java.util.Comparator;
+
+import org.apache.commons.math.exception.util.LocalizedFormats;
+import org.apache.commons.math.exception.NumberIsTooSmallException;
+import org.apache.commons.math.exception.OutOfRangeException;
+import org.apache.commons.math.exception.ZeroException;
+import org.apache.commons.math.exception.NullArgumentException;
+
+/**
+ * Guesses the parameters ({@code a}, {@code b}, {@code c}, and {@code d})
+ * of a {@link ParametricGaussianFunction} based on the specified observed
+ * points.
+ *
+ * @since 2.2
+ * @version $Revision: 983921 $ $Date: 2010-08-10 12:46:06 +0200 (mar. 10 août 2010) $
+ */
+public class GaussianParametersGuesser {
+
+ /** Observed points. */
+ private final WeightedObservedPoint[] observations;
+
+ /** Resulting guessed parameters. */
+ private double[] parameters;
+
+ /**
+ * Constructs instance with the specified observed points.
+ *
+ * @param observations observed points upon which should base guess
+ */
+ public GaussianParametersGuesser(WeightedObservedPoint[] observations) {
+ if (observations == null) {
+ throw new NullArgumentException(LocalizedFormats.INPUT_ARRAY);
+ }
+ if (observations.length < 3) {
+ throw new NumberIsTooSmallException(observations.length, 3, true);
+ }
+ this.observations = observations.clone();
+ }
+
+ /**
+ * Guesses the parameters based on the observed points.
+ *
+ * @return guessed parameters array <code>{a, b, c, d}</code>
+ */
+ public double[] guess() {
+ if (parameters == null) {
+ parameters = basicGuess(observations);
+ }
+ return parameters.clone();
+ }
+
+ /**
+ * Guesses the parameters based on the specified observed points.
+ *
+ * @param points observed points upon which should base guess
+ *
+ * @return guessed parameters array <code>{a, b, c, d}</code>
+ */
+ private double[] basicGuess(WeightedObservedPoint[] points) {
+ Arrays.sort(points, createWeightedObservedPointComparator());
+ double[] params = new double[4];
+
+ int minYIdx = findMinY(points);
+ params[0] = points[minYIdx].getY();
+
+ int maxYIdx = findMaxY(points);
+ params[1] = points[maxYIdx].getY();
+ params[2] = points[maxYIdx].getX();
+
+ double fwhmApprox;
+ try {
+ double halfY = params[0] + ((params[1] - params[0]) / 2.0);
+ double fwhmX1 = interpolateXAtY(points, maxYIdx, -1, halfY);
+ double fwhmX2 = interpolateXAtY(points, maxYIdx, +1, halfY);
+ fwhmApprox = fwhmX2 - fwhmX1;
+ } catch (OutOfRangeException e) {
+ fwhmApprox = points[points.length - 1].getX() - points[0].getX();
+ }
+ params[3] = fwhmApprox / (2.0 * Math.sqrt(2.0 * Math.log(2.0)));
+
+ return params;
+ }
+
+ /**
+ * Finds index of point in specified points with the smallest Y.
+ *
+ * @param points points to search
+ *
+ * @return index in specified points array
+ */
+ private int findMinY(WeightedObservedPoint[] points) {
+ int minYIdx = 0;
+ for (int i = 1; i < points.length; i++) {
+ if (points[i].getY() < points[minYIdx].getY()) {
+ minYIdx = i;
+ }
+ }
+ return minYIdx;
+ }
+
+ /**
+ * Finds index of point in specified points with the largest Y.
+ *
+ * @param points points to search
+ *
+ * @return index in specified points array
+ */
+ private int findMaxY(WeightedObservedPoint[] points) {
+ int maxYIdx = 0;
+ for (int i = 1; i < points.length; i++) {
+ if (points[i].getY() > points[maxYIdx].getY()) {
+ maxYIdx = i;
+ }
+ }
+ return maxYIdx;
+ }
+
+ /**
+ * Interpolates using the specified points to determine X at the specified
+ * Y.
+ *
+ * @param points points to use for interpolation
+ * @param startIdx index within points from which to start search for
+ * interpolation bounds points
+ * @param idxStep index step for search for interpolation bounds points
+ * @param y Y value for which X should be determined
+ *
+ * @return value of X at the specified Y
+ *
+ * @throws IllegalArgumentException if idxStep is 0
+ * @throws OutOfRangeException if specified <code>y</code> is not within the
+ * range of the specified <code>points</code>
+ */
+ private double interpolateXAtY(WeightedObservedPoint[] points,
+ int startIdx, int idxStep, double y) throws OutOfRangeException {
+ if (idxStep == 0) {
+ throw new ZeroException();
+ }
+ WeightedObservedPoint[] twoPoints = getInterpolationPointsForY(points, startIdx, idxStep, y);
+ WeightedObservedPoint pointA = twoPoints[0];
+ WeightedObservedPoint pointB = twoPoints[1];
+ if (pointA.getY() == y) {
+ return pointA.getX();
+ }
+ if (pointB.getY() == y) {
+ return pointB.getX();
+ }
+ return pointA.getX() +
+ (((y - pointA.getY()) * (pointB.getX() - pointA.getX())) / (pointB.getY() - pointA.getY()));
+ }
+
+ /**
+ * Gets the two bounding interpolation points from the specified points
+ * suitable for determining X at the specified Y.
+ *
+ * @param points points to use for interpolation
+ * @param startIdx index within points from which to start search for
+ * interpolation bounds points
+ * @param idxStep index step for search for interpolation bounds points
+ * @param y Y value for which X should be determined
+ *
+ * @return array containing two points suitable for determining X at the
+ * specified Y
+ *
+ * @throws IllegalArgumentException if idxStep is 0
+ * @throws OutOfRangeException if specified <code>y</code> is not within the
+ * range of the specified <code>points</code>
+ */
+ private WeightedObservedPoint[] getInterpolationPointsForY(WeightedObservedPoint[] points,
+ int startIdx, int idxStep, double y)
+ throws OutOfRangeException {
+ if (idxStep == 0) {
+ throw new ZeroException();
+ }
+ for (int i = startIdx;
+ (idxStep < 0) ? (i + idxStep >= 0) : (i + idxStep < points.length);
+ i += idxStep) {
+ if (isBetween(y, points[i].getY(), points[i + idxStep].getY())) {
+ return (idxStep < 0) ?
+ new WeightedObservedPoint[] { points[i + idxStep], points[i] } :
+ new WeightedObservedPoint[] { points[i], points[i + idxStep] };
+ }
+ }
+
+ double minY = Double.POSITIVE_INFINITY;
+ double maxY = Double.NEGATIVE_INFINITY;
+ for (final WeightedObservedPoint point : points) {
+ minY = Math.min(minY, point.getY());
+ maxY = Math.max(maxY, point.getY());
+ }
+ throw new OutOfRangeException(y, minY, maxY);
+
+ }
+
+ /**
+ * Determines whether a value is between two other values.
+ *
+ * @param value value to determine whether is between <code>boundary1</code>
+ * and <code>boundary2</code>
+ * @param boundary1 one end of the range
+ * @param boundary2 other end of the range
+ *
+ * @return true if <code>value</code> is between <code>boundary1</code> and
+ * <code>boundary2</code> (inclusive); false otherwise
+ */
+ private boolean isBetween(double value, double boundary1, double boundary2) {
+ return (value >= boundary1 && value <= boundary2) ||
+ (value >= boundary2 && value <= boundary1);
+ }
+
+ /**
+ * Factory method creating <code>Comparator</code> for comparing
+ * <code>WeightedObservedPoint</code> instances.
+ *
+ * @return new <code>Comparator</code> instance
+ */
+ private Comparator<WeightedObservedPoint> createWeightedObservedPointComparator() {
+ return new Comparator<WeightedObservedPoint>() {
+ public int compare(WeightedObservedPoint p1, WeightedObservedPoint p2) {
+ if (p1 == null && p2 == null) {
+ return 0;
+ }
+ if (p1 == null) {
+ return -1;
+ }
+ if (p2 == null) {
+ return 1;
+ }
+ if (p1.getX() < p2.getX()) {
+ return -1;
+ }
+ if (p1.getX() > p2.getX()) {
+ return 1;
+ }
+ if (p1.getY() < p2.getY()) {
+ return -1;
+ }
+ if (p1.getY() > p2.getY()) {
+ return 1;
+ }
+ if (p1.getWeight() < p2.getWeight()) {
+ return -1;
+ }
+ if (p1.getWeight() > p2.getWeight()) {
+ return 1;
+ }
+ return 0;
+ }
+ };
+ }
+}