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Posted to commits@commons.apache.org by ce...@apache.org on 2012/02/15 07:30:05 UTC
svn commit: r1244375 - in /commons/proper/math/trunk/src:
main/java/org/apache/commons/math3/distribution/
main/java/org/apache/commons/math3/transform/
test/java/org/apache/commons/math3/transform/
Author: celestin
Date: Wed Feb 15 06:30:05 2012
New Revision: 1244375
URL: http://svn.apache.org/viewvc?rev=1244375&view=rev
Log:
Fixed Javadoc warnings.
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/PoissonDistribution.java
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastFourierTransformer.java
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastSineTransformer.java
commons/proper/math/trunk/src/test/java/org/apache/commons/math3/transform/RealTransformerAbstractTest.java
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/PoissonDistribution.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/PoissonDistribution.java?rev=1244375&r1=1244374&r2=1244375&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/PoissonDistribution.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/PoissonDistribution.java Wed Feb 15 06:30:05 2012
@@ -208,8 +208,7 @@ public class PoissonDistribution extends
*
* The upper bound of the support is positive infinity,
* regardless of the parameter values. There is no integer infinity,
- * so this method returns {@code Integer.MAX_VALUE} and
- * {@link #isSupportUpperBoundInclusive()} returns {@code true}.
+ * so this method returns {@code Integer.MAX_VALUE}.
*
* @return upper bound of the support (always {@code Integer.MAX_VALUE} for
* positive infinity)
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastFourierTransformer.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastFourierTransformer.java?rev=1244375&r1=1244374&r2=1244375&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastFourierTransformer.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastFourierTransformer.java Wed Feb 15 06:30:05 2012
@@ -432,8 +432,8 @@ public class FastFourierTransformer impl
/**
* Performs a multi-dimensional Fourier transform on a given array. Use
- * {@link #transform(Complex[])} and {@link #inverseTransform(Complex[])} in
- * a row-column implementation in any number of dimensions with
+ * {@link #transform(Complex[], TransformType)} in a row-column
+ * implementation in any number of dimensions with
* O(N×log(N)) complexity with
* N = n<sub>1</sub> × n<sub>2</sub> ×n<sub>3</sub> × ...
* × n<sub>d</sub>, where n<sub>k</sub> is the number of elements in
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastSineTransformer.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastSineTransformer.java?rev=1244375&r1=1244374&r2=1244375&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastSineTransformer.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/transform/FastSineTransformer.java Wed Feb 15 06:30:05 2012
@@ -67,9 +67,8 @@ import org.apache.commons.math3.util.Fas
* transform requires the length of the data to be a power of two. Besides,
* it implicitly assumes that the sampled function is odd. In particular, the
* first element of the data set must be 0, which is enforced in
- * {@link #transform(UnivariateFunction, double, double, int)} and
- * {@link #inverseTransform(UnivariateFunction, double, double, int)}, after
- * sampling.
+ * {@link #transform(UnivariateFunction, double, double, int, TransformType)},
+ * after sampling.
* </p>
*
* @version $Id$
Modified: commons/proper/math/trunk/src/test/java/org/apache/commons/math3/transform/RealTransformerAbstractTest.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/java/org/apache/commons/math3/transform/RealTransformerAbstractTest.java?rev=1244375&r1=1244374&r2=1244375&view=diff
==============================================================================
--- commons/proper/math/trunk/src/test/java/org/apache/commons/math3/transform/RealTransformerAbstractTest.java (original)
+++ commons/proper/math/trunk/src/test/java/org/apache/commons/math3/transform/RealTransformerAbstractTest.java Wed Feb 15 06:30:05 2012
@@ -31,9 +31,9 @@ import org.junit.Test;
* This abstract test handles the automatic generation of random data of various
* sizes. For each generated data array, actual values (returned by the
* transformer to be tested) are compared to expected values, returned by the
- * {@link #transform(double[], boolean)} (to be implemented by the user: a naive
- * method may be used). Methods are also provided to test that invalid parameters
- * throw the expected exceptions.
+ * {@link #transform(double[], TransformType)} (to be implemented by the user:
+ * a naive method may be used). Methods are also provided to test that invalid
+ * parameters throw the expected exceptions.
*
* @since 3.0
* @version $Id$
@@ -147,7 +147,7 @@ public abstract class RealTransformerAbs
*/
/**
- * {@link RealTransformer#transform(double[], TransformType))} should throw a
+ * {@link RealTransformer#transform(double[], TransformType)} should throw a
* {@link MathIllegalArgumentException} if data size is invalid.
*/
@Test
@@ -247,14 +247,14 @@ public abstract class RealTransformerAbs
*/
/**
- * Accuracy check of {@link RealTransformer#transform(double[])}. For each
- * valid data size returned by
+ * Accuracy check of {@link RealTransformer#transform(double[], TransformType)}.
+ * For each valid data size returned by
* {@link #getValidDataSize(int) getValidDataSize(i)},
* a random data array is generated with
* {@link #createRealData(int) createRealData(i)}. The actual
* transform is computed and compared to the expected transform, return by
- * {@link #transform(double[], boolean)}. Actual and expected values should
- * be equal to within the relative error returned by
+ * {@link #transform(double[], TransformType)}. Actual and expected values
+ * should be equal to within the relative error returned by
* {@link #getRelativeTolerance(int) getRelativeTolerance(i)}.
*/
@Test
@@ -271,14 +271,14 @@ public abstract class RealTransformerAbs
/**
* Accuracy check of
- * {@link RealTransformer#transform(UnivariateFunction, double, double, int)}.
+ * {@link RealTransformer#transform(UnivariateFunction, double, double, int, TransformType)}.
* For each valid data size returned by
* {@link #getValidDataSize(int) getValidDataSize(i)},
* the {@link UnivariateFunction} returned by {@link #getValidFunction()} is
* sampled. The actual transform is computed and compared to the expected
- * transform, return by {@link #transform(double[], boolean)}. Actual and
- * expected values should be equal to within the relative error returned by
- * {@link #getRelativeTolerance(int) getRelativeTolerance(i)}.
+ * transform, return by {@link #transform(double[], TransformType)}. Actual
+ * and expected values should be equal to within the relative error returned
+ * by {@link #getRelativeTolerance(int) getRelativeTolerance(i)}.
*/
@Test
public void testTransformFunction() {