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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.math4.legacy.analysis.function;
import org.apache.commons.math4.legacy.analysis.UnivariateFunction;
import org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure;
import org.apache.commons.math4.legacy.analysis.differentiation.UnivariateDifferentiableFunction;
import org.apache.commons.math4.core.jdkmath.JdkMath;
import org.junit.Assert;
import org.junit.Test;
public class SqrtTest {
@Test
public void testComparison() {
final Sqrt s = new Sqrt();
final UnivariateFunction f = new UnivariateFunction() {
@Override
public double value(double x) {
return JdkMath.sqrt(x);
}
};
for (double x = 1e-30; x < 1e10; x *= 2) {
final double fX = f.value(x);
final double sX = s.value(x);
Assert.assertEquals("x=" + x, fX, sX, 0);
}
}
@Test
public void testDerivativeComparison() {
final UnivariateDifferentiableFunction sPrime = new Sqrt();
final UnivariateFunction f = new UnivariateFunction() {
@Override
public double value(double x) {
return 1 / (2 * JdkMath.sqrt(x));
}
};
for (double x = 1e-30; x < 1e10; x *= 2) {
final double fX = f.value(x);
final double sX = sPrime.value(new DerivativeStructure(1, 1, 0, x)).getPartialDerivative(1);
Assert.assertEquals("x=" + x, fX, sX, JdkMath.ulp(fX));
}
}
@Test
public void testDerivativesHighOrder() {
DerivativeStructure s = new Sqrt().value(new DerivativeStructure(1, 5, 0, 1.2));
Assert.assertEquals(1.0954451150103322269, s.getPartialDerivative(0), 1.0e-16);
Assert.assertEquals(0.45643546458763842789, s.getPartialDerivative(1), 1.0e-16);
Assert.assertEquals(-0.1901814435781826783, s.getPartialDerivative(2), 1.0e-16);
Assert.assertEquals(0.23772680447272834785, s.getPartialDerivative(3), 1.0e-16);
Assert.assertEquals(-0.49526417598485072465, s.getPartialDerivative(4), 1.0e-16);
Assert.assertEquals(1.4445205132891479465, s.getPartialDerivative(5), 5.0e-16);
}
}