Author: psteitz
Date: Sun May 20 12:30:05 2007
New Revision: 539915
URL: http://svn.apache.org/viewvc?view=rev&rev=539915
Log:
Javadoc only.
Modified:
jakarta/commons/proper/math/trunk/src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java
Modified:
jakarta/commons/proper/math/trunk/src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java
URL:
http://svn.apache.org/viewvc/jakarta/commons/proper/math/trunk/src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java?view=diff&rev=539915&r1=539914&r2=539915
==============================================================================
---
jakarta/commons/proper/math/trunk/src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java
(original)
+++
jakarta/commons/proper/math/trunk/src/java/org/apache/commons/math/random/CorrelatedRandomVectorGenerator.java
Sun May 20 12:30:05 2007
@@ -21,13 +21,13 @@
import org.apache.commons.math.linear.RealMatrix;
import org.apache.commons.math.linear.RealMatrixImpl;
-/** This class allows to generate random vectors with correlated components.
-
+/**
+ * A [EMAIL PROTECTED] RandomVectorGenerator} that generates vectors with with
+ * correlated components.
* <p>Random vectors with correlated components are built by combining
- * the uncorrelated components of another random vector in such a way
+ * the uncorrelated components of another random vector in such a way that
* the resulting correlations are the ones specified by a positive
* definite covariance matrix.</p>
-
* <p>Sometimes, the covariance matrix for a given simulation is not
* strictly positive definite. This means that the correlations are
* not all independant from each other. In this case, however, the non
@@ -40,7 +40,7 @@
* more rows than columns. The number of columns of <code>B</code> is
* the rank of the covariance matrix, and it is the dimension of the
* uncorrelated random vector that is needed to compute the component
- * of the correlated vector. This class does handle this situation
+ * of the correlated vector. This class handles this situation
* automatically.</p>
* @version $Revision:$ $Date$
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