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fixed checkstyle warnings 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@744716 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2009-02-15 18:38:49 +00:00
parent 098b003e18
commit 3796de49e0
5 changed files with 49 additions and 10 deletions
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2
src/java/org/apache/commons/math/linear/CholeskyDecompositionImpl.java
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@ -198,7 +198,7 @@ public class CholeskyDecompositionImpl implements CholeskyDecomposition {
/**
* Build a solver from decomposed matrix.
* @param lData row-oriented storage for L<sup>T</sup> matrix data
* @param lTData row-oriented storage for L<sup>T</sup> matrix data
*/
private Solver(final double[][] lTData) {
this.lTData = lTData;

5
src/java/org/apache/commons/math/linear/SparseRealVector.java
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@ -27,8 +27,13 @@ import org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator;
*/
public class SparseRealVector implements RealVector {
/** Entries of the vector. */
private OpenIntToDoubleHashMap entries;
/** Dimension of the vector. */
private final int virtualSize;
/** Tolerance for having a value considered zero. */
private double epsilon = 1.0e-12;
/**

14
src/java/org/apache/commons/math/stat/correlation/Covariance.java
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@ -46,7 +46,10 @@ public class Covariance {
/** covariance matrix */
private final RealMatrix covarianceMatrix;
/**
* Create an empty covariance matrix.
*/
public Covariance() {
super();
covarianceMatrix = null;
@ -131,12 +134,8 @@ public class Covariance {
/**
* Create a covariance matrix from a matrix whose columns represent
* covariates.
*
* <p>The input matrix must have at least two columns and two rows</p>
*
* <p>The <code>biasCorrected</code> parameter determines whether or not
* covariance estimates are bias-corrected.</p>
*
* @param matrix input matrix (must have at least two columns and two rows)
* @param biasCorrected determines whether or not covariance estimates are bias-corrected
* @return covariance matrix
*/
protected RealMatrix computeCovariance(RealMatrix matrix, boolean biasCorrected) {
@ -192,6 +191,7 @@ public class Covariance {
/**
* Throws IllegalArgumentException of the matrix does not have at least
* two columns and two rows
* @param matrix matrix to check
*/
private void checkSufficientData(final RealMatrix matrix) {
int nRows = matrix.getRowDimension();

22
src/java/org/apache/commons/math/stat/correlation/package.html Normal file
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@ -0,0 +1,22 @@
<html>
<!--
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.
-->
<!-- $Revision$ $Date$ -->
<body>
Correlations/Covariance computations.
</body>
</html>

16
src/java/org/apache/commons/math/transform/FastFourierTransformer.java
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@ -776,13 +776,25 @@ public class FastFourierTransformer implements Serializable {
* A cache of already computed values is maintained.
*/
private static class RootsOfUnity {
/** Number of roots of unity. */
private int omegaCount;
/** Real part of the roots. */
private double[] omegaReal;
/** Imaginary part of the roots for forward transform. */
private double[] omegaImaginaryForward;
/** Imaginary part of the roots for reverse transform. */
private double[] omegaImaginaryInverse;
/** Forward/reverse indicator. */
private boolean isForward;
/**
* Build an engine for computing then <sup>th</sup> roots of unity
*/
public RootsOfUnity() {
omegaCount = 0;