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Posted to commits@commons.apache.org by er...@apache.org on 2010/08/05 16:26:13 UTC
svn commit: r982639 - in /commons/proper/math/trunk/src:
main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java
test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java
Author: erans
Date: Thu Aug 5 14:26:13 2010
New Revision: 982639
URL: http://svn.apache.org/viewvc?rev=982639&view=rev
Log:
"PowellOptimizer": Added a constructor for setting of the absolute tolerance,
removed one redundant function evaluation.
Line search relative tolerance explicitly set in the optimizer instance
created in "PowellOptimizerTest".
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java
commons/proper/math/trunk/src/test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java?rev=982639&r1=982638&r2=982639&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math/optimization/general/PowellOptimizer.java Thu Aug 5 14:26:13 2010
@@ -17,6 +17,8 @@
package org.apache.commons.math.optimization.general;
+import java.util.Arrays;
+
import org.apache.commons.math.FunctionEvaluationException;
import org.apache.commons.math.MaxIterationsExceededException;
import org.apache.commons.math.analysis.UnivariateRealFunction;
@@ -39,28 +41,49 @@ import org.apache.commons.math.optimizat
public class PowellOptimizer
extends AbstractScalarOptimizer {
/**
- * Defautl line search tolerance ({@value}).
+ * Default relative tolerance for line search ({@value}).
+ */
+ public static final double DEFAULT_LS_RELATIVE_TOLERANCE = 1e-7;
+ /**
+ * Default absolute tolerance for line search ({@value}).
*/
- public static final double DEFAULT_LINE_SEARCH_TOLERANCE = 1e-7;
+ public static final double DEFAULT_LS_ABSOLUTE_TOLERANCE = 1e-11;
/**
* Line search.
*/
private final LineSearch line;
/**
- * Constructor using the default line search tolerance (see the
- * {@link #PowellOptimizer(double) other constructor}).
+ * Constructor with default line search tolerances (see the
+ * {@link #PowellOptimizer(double,double) other constructor}).
*/
public PowellOptimizer() {
- this(DEFAULT_LINE_SEARCH_TOLERANCE);
+ this(DEFAULT_LS_RELATIVE_TOLERANCE,
+ DEFAULT_LS_ABSOLUTE_TOLERANCE);
+ }
+
+ /**
+ * Constructor with default absolute line search tolerances (see
+ * the {@link #PowellOptimizer(double,double) other constructor}).
+ *
+ * @param lsRelativeTolerance Relative error tolerance for
+ * the line search algorithm ({@link BrentOptimizer}).
+ */
+ public PowellOptimizer(double lsRelativeTolerance) {
+ this(lsRelativeTolerance,
+ DEFAULT_LS_ABSOLUTE_TOLERANCE);
}
/**
- * @param lineSearchTolerance Relative error tolerance for the line search
- * algorithm ({@link BrentOptimizer}).
+ * @param lsRelativeTolerance Relative error tolerance for
+ * the line search algorithm ({@link BrentOptimizer}).
+ * @param lsAbsoluteTolerance Relative error tolerance for
+ * the line search algorithm ({@link BrentOptimizer}).
*/
- public PowellOptimizer(double lineSearchTolerance) {
- line = new LineSearch(lineSearchTolerance);
+ public PowellOptimizer(double lsRelativeTolerance,
+ double lsAbsoluteTolerance) {
+ line = new LineSearch(lsRelativeTolerance,
+ lsAbsoluteTolerance);
}
/** {@inheritDoc} */
@@ -89,9 +112,9 @@ public class PowellOptimizer
int bigInd = 0;
double alphaMin = 0;
- double[] direc1 = new double[n];
+ double[] direc1 = null;
for (int i = 0; i < n; i++) {
- direc1 = direc[i];
+ direc1 = Arrays.copyOf(direc[i], n);
fX2 = fVal;
@@ -188,11 +211,13 @@ public class PowellOptimizer
private double valueAtOptimum = Double.NaN;
/**
- * @param tolerance Relative tolerance.
+ * @param relativeTolerance Relative tolerance.
+ * @param absoluteTolerance Absolute tolerance.
*/
- public LineSearch(double tolerance) {
- optim.setRelativeAccuracy(tolerance);
- optim.setAbsoluteAccuracy(Math.ulp(1d));
+ public LineSearch(double relativeTolerance,
+ double absoluteTolerance) {
+ optim.setRelativeAccuracy(relativeTolerance);
+ optim.setAbsoluteAccuracy(absoluteTolerance);
}
/**
@@ -206,6 +231,11 @@ public class PowellOptimizer
public void search(final double[] p,
final double[] d)
throws OptimizationException {
+
+ // Reset.
+ optimum = Double.NaN;
+ valueAtOptimum = Double.NaN;
+
try {
final int n = p.length;
final UnivariateRealFunction f = new UnivariateRealFunction() {
@@ -216,7 +246,8 @@ public class PowellOptimizer
for (int i = 0; i < n; i++) {
x[i] = p[i] + alpha * d[i];
}
- return computeObjectiveValue(x);
+ final double obj = computeObjectiveValue(x);
+ return obj;
}
};
@@ -226,7 +257,7 @@ public class PowellOptimizer
bracket.getLo(),
bracket.getHi(),
bracket.getMid());
- valueAtOptimum = f.value(optimum);
+ valueAtOptimum = optim.getFunctionValue();
} catch (FunctionEvaluationException e) {
throw new OptimizationException(e);
} catch (MaxIterationsExceededException e) {
Modified: commons/proper/math/trunk/src/test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java?rev=982639&r1=982638&r2=982639&view=diff
==============================================================================
--- commons/proper/math/trunk/src/test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java (original)
+++ commons/proper/math/trunk/src/test/java/org/apache/commons/math/optimization/general/PowellOptimizerTest.java Thu Aug 5 14:26:13 2010
@@ -36,7 +36,7 @@ public class PowellOptimizerTest {
public void testSumSinc() throws MathException {
final MultivariateRealFunction func = new SumSincFunction(-1);
- int dim = 10;
+ int dim = 2;
final double[] minPoint = new double[dim];
for (int i = 0; i < dim; i++) {
minPoint[i] = 0;
@@ -48,13 +48,13 @@ public class PowellOptimizerTest {
for (int i = 0; i < dim; i++) {
init[i] = minPoint[i];
}
- doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-9, 1e-7);
+ // doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-5, 1e-9, 1e-7);
// Initial is far from minimum.
for (int i = 0; i < dim; i++) {
init[i] = minPoint[i] + 3;
}
- doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-9, 1e-7);
+ doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-5, 1e-9, 1e-7);
}
@Test
@@ -80,13 +80,13 @@ public class PowellOptimizerTest {
for (int i = 0; i < dim; i++) {
init[i] = minPoint[i];
}
- doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-9, 1e-8);
+ doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-5, 1e-9, 1e-8);
// Initial is far from minimum.
for (int i = 0; i < dim; i++) {
init[i] = minPoint[i] - 20;
}
- doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-9, 1e-8);
+ doTest(func, minPoint, init, GoalType.MINIMIZE, 1e-5, 1e-9, 1e-8);
}
@Test
@@ -112,13 +112,13 @@ public class PowellOptimizerTest {
for (int i = 0; i < dim; i++) {
init[i] = maxPoint[i];
}
- doTest(func, maxPoint, init, GoalType.MAXIMIZE, 1e-9, 1e-8);
+ doTest(func, maxPoint, init, GoalType.MAXIMIZE, 1e-5, 1e-9, 1e-8);
// Initial is far from minimum.
for (int i = 0; i < dim; i++) {
init[i] = maxPoint[i] - 20;
}
- doTest(func, maxPoint, init, GoalType.MAXIMIZE, 1e-9, 1e-8);
+ doTest(func, maxPoint, init, GoalType.MAXIMIZE, 1e-5, 1e-9, 1e-8);
}
/**
@@ -126,18 +126,22 @@ public class PowellOptimizerTest {
* @param optimum Expected optimum.
* @param init Starting point.
* @param goal Minimization or maximization.
- * @param objTol Tolerance (relative error on the objective function).
- * @param pointTol Tolerance on the position of the optimum.
+ * @param xTol Tolerance (relative error on the objective function) for
+ * "Brent" line search algorithm used by "Powell".
+ * @param fTol Tolerance (relative error on the objective function) for
+ * "Powell" algorithm.
+ * @param pointTol Tolerance for checking that the optimum is correct.
*/
private void doTest(MultivariateRealFunction func,
double[] optimum,
double[] init,
GoalType goal,
- double objTol,
+ double xTol,
+ double fTol,
double pointTol)
throws MathException {
- final MultivariateRealOptimizer optim = new PowellOptimizer();
- optim.setConvergenceChecker(new SimpleScalarValueChecker(objTol, -1));
+ final MultivariateRealOptimizer optim = new PowellOptimizer(xTol);
+ optim.setConvergenceChecker(new SimpleScalarValueChecker(fTol, -1));
final RealPointValuePair result = optim.optimize(func, goal, init);
final double[] found = result.getPoint();