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minor javadoc fixes for HessenbergTransformer. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1334644 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Thomas Neidhart 2012-05-06 14:33:32 +00:00
parent 8dcea987fd
commit ada3793d40
1 changed files with 6 additions and 6 deletions
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12
src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java
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@ -23,7 +23,7 @@ import org.apache.commons.math3.util.Precision;
/**
* Class transforming a general real matrix to Hessenberg form.
* <p>A m &times; m matrix A can be written as the product of three matrices: A = P
* &times; H &times; P<sup>T</sup> with P an unitary matrix and H a Hessenberg
* &times; H &times; P<sup>T</sup> with P an orthogonal matrix and H a Hessenberg
* matrix. Both P and H are m &times; m matrices.</p>
* <p>Transformation to Hessenberg form is often not a goal by itself, but it is an
* intermediate step in more general decomposition algorithms like
@ -54,10 +54,10 @@ class HessenbergTransformer {
/**
* Build the transformation to Hessenberg form of a general matrix.
*
* @param matrix matrix to transform.
* @throws NonSquareMatrixException if the matrix is not square.
* @param matrix matrix to transform
* @throws NonSquareMatrixException if the matrix is not square
*/
public HessenbergTransformer(RealMatrix matrix) {
public HessenbergTransformer(final RealMatrix matrix) {
if (!matrix.isSquare()) {
throw new NonSquareMatrixException(matrix.getRowDimension(),
matrix.getColumnDimension());
@ -76,7 +76,7 @@ class HessenbergTransformer {
/**
* Returns the matrix P of the transform.
* <p>P is an unitary matrix, i.e. its inverse is also its transpose.</p>
* <p>P is an orthogonal matrix, i.e. its inverse is also its transpose.</p>
*
* @return the P matrix
*/
@ -122,7 +122,7 @@ class HessenbergTransformer {
/**
* Returns the transpose of the matrix P of the transform.
* <p>P is an unitary matrix, i.e. its inverse is also its transpose.</p>
* <p>P is an orthogonal matrix, i.e. its inverse is also its transpose.</p>
*
* @return the transpose of the P matrix
*/