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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;
import java.util.ArrayList;
import org.apache.commons.math3.analysis.differentiation.DerivativeStructure;
import org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction;
import org.apache.commons.math3.geometry.euclidean.twod.Vector2D;
/**
* Class used in the tests.
*/
@Deprecated
class CircleVectorial implements MultivariateDifferentiableVectorFunction {
private ArrayList<Vector2D> points;
public CircleVectorial() {
points = new ArrayList<Vector2D>();
}
public void addPoint(double px, double py) {
points.add(new Vector2D(px, py));
}
public int getN() {
return points.size();
}
public double getRadius(Vector2D center) {
double r = 0;
for (Vector2D point : points) {
r += point.distance(center);
}
return r / points.size();
}
private DerivativeStructure distance(Vector2D point,
DerivativeStructure cx, DerivativeStructure cy) {
DerivativeStructure dx = cx.subtract(point.getX());
DerivativeStructure dy = cy.subtract(point.getY());
return dx.multiply(dx).add(dy.multiply(dy)).sqrt();
}
public DerivativeStructure getRadius(DerivativeStructure cx, DerivativeStructure cy) {
DerivativeStructure r = cx.getField().getZero();
for (Vector2D point : points) {
r = r.add(distance(point, cx, cy));
}
return r.divide(points.size());
}
public double[] value(double[] variables) {
Vector2D center = new Vector2D(variables[0], variables[1]);
double radius = getRadius(center);
double[] residuals = new double[points.size()];
for (int i = 0; i < residuals.length; ++i) {
residuals[i] = points.get(i).distance(center) - radius;
}
return residuals;
}
public DerivativeStructure[] value(DerivativeStructure[] variables) {
DerivativeStructure radius = getRadius(variables[0], variables[1]);
DerivativeStructure[] residuals = new DerivativeStructure[points.size()];
for (int i = 0; i < residuals.length; ++i) {
residuals[i] = distance(points.get(i), variables[0], variables[1]).subtract(radius);
}
return residuals;
}
}