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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 × D × V<sup>T</sup>.
- * Let A be an m × n matrix, then V is an m × m orthogonal matrix
- * and D is a m × n diagonal matrix.</p>
+ * A, V and D are all m × 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>