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From t.@apache.org
Subject svn commit: r1334644 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java
Date Sun, 06 May 2012 14:33:33 GMT
Author: tn
Date: Sun May  6 14:33:32 2012
New Revision: 1334644

URL: http://svn.apache.org/viewvc?rev=1334644&view=rev
Log:
minor javadoc fixes for HessenbergTransformer.

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java?rev=1334644&r1=1334643&r2=1334644&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java
(original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/HessenbergTransformer.java
Sun May  6 14:33:32 2012
@@ -23,7 +23,7 @@ import org.apache.commons.math3.util.Pre
 /**
  * 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
      */



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