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Refined test (follow-up of MATH-441). 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1037372 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Gilles Sadowski 2010-11-21 02:36:14 +00:00
parent 22d63af83d
commit b4129de756
1 changed files with 16 additions and 6 deletions
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22
src/test/java/org/apache/commons/math/optimization/univariate/MultiStartUnivariateRealOptimizerTest.java
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@ -28,11 +28,12 @@ import org.apache.commons.math.optimization.GoalType;
import org.apache.commons.math.random.JDKRandomGenerator;
import org.apache.commons.math.util.FastMath;
import org.junit.Test;
import org.junit.Assert;
public class MultiStartUnivariateRealOptimizerTest {
@Test
public void testSinMin() throws MathUserException {
public void testSinMin() {
UnivariateRealFunction f = new SinFunction();
UnivariateRealOptimizer underlying = new BrentOptimizer(1e-10, 1e-14);
underlying.setMaxEvaluations(300);
@ -53,7 +54,7 @@ public class MultiStartUnivariateRealOptimizerTest {
}
@Test
public void testQuinticMin() throws MathUserException {
public void testQuinticMin() {
// The quintic function has zeros at 0, +-0.5 and +-1.
// The function has extrema (first derivative is zero) at 0.27195613 and 0.82221643,
UnivariateRealFunction f = new QuinticFunction();
@ -77,10 +78,10 @@ public class MultiStartUnivariateRealOptimizerTest {
assertTrue(optimizer.getEvaluations() <= 100);
}
@Test(expected=MathUserException.class)
public void testBadFunction() throws MathUserException {
@Test
public void testBadFunction() {
UnivariateRealFunction f = new UnivariateRealFunction() {
public double value(double x) throws MathUserException {
public double value(double x) {
if (x < 0) {
throw new MathUserException();
}
@ -93,7 +94,16 @@ public class MultiStartUnivariateRealOptimizerTest {
g.setSeed(4312000053L);
MultiStartUnivariateRealOptimizer<UnivariateRealFunction> optimizer =
new MultiStartUnivariateRealOptimizer<UnivariateRealFunction>(underlying, 5, g);
try {
UnivariateRealPointValuePair optimum
= optimizer.optimize(f, GoalType.MINIMIZE, -0.3, -0.2);
Assert.fail();
} catch (MathUserException e) {
// Expected.
}
optimizer.optimize(f, GoalType.MINIMIZE, -0.3, -0.2);
// Ensure that the exception was thrown because no optimum was found.
Assert.assertTrue(optimizer.getOptima()[0] == null);
}
}