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Posted to commits@commons.apache.org by lu...@apache.org on 2008/11/03 22:30:07 UTC

svn commit: r710167 - /commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java

Author: luc
Date: Mon Nov  3 13:30:07 2008
New Revision: 710167

URL: http://svn.apache.org/viewvc?rev=710167&view=rev
Log:
simplified a javadoc sentence

Modified:
    commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java

Modified: commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java
URL: http://svn.apache.org/viewvc/commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java?rev=710167&r1=710166&r2=710167&view=diff
==============================================================================
--- commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java (original)
+++ commons/proper/math/branches/MATH_2_0/src/java/org/apache/commons/math/linear/EigenDecomposition.java Mon Nov  3 13:30:07 2008
@@ -22,8 +22,7 @@
  * eigen decomposition of a real symmetric matrix.
  * <p>The eigen decomposition of matrix A is a set of two matrices:
  * V and D such that A = V &times; D &times; V<sup>T</sup>.
- * Let A be an m &times; n matrix, then V is an m &times; m orthogonal matrix
- * and D is a m &times; n diagonal matrix.</p>
+ * A, V and D are all m &times; m matrices.</p>
  * <p>This interface is similar in spirit to the <code>EigenvalueDecomposition</code>
  * class from the now defunct <a href="http://math.nist.gov/javanumerics/jama/">JAMA</a>
  * library, with the following changes:</p>