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Posted to commits@commons.apache.org by tn...@apache.org on 2012/07/14 23:19:36 UTC
svn commit: r1361587 - in /commons/proper/math/trunk/src: changes/changes.xml
main/java/org/apache/commons/math3/linear/EigenDecomposition.java
Author: tn
Date: Sat Jul 14 21:19:36 2012
New Revision: 1361587
URL: http://svn.apache.org/viewvc?rev=1361587&view=rev
Log:
[MATH-822] Added new constructors in EigenDecomposition. Thanks to Jared Becksfort for the report.
Modified:
commons/proper/math/trunk/src/changes/changes.xml
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/EigenDecomposition.java
Modified: commons/proper/math/trunk/src/changes/changes.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/changes/changes.xml?rev=1361587&r1=1361586&r2=1361587&view=diff
==============================================================================
--- commons/proper/math/trunk/src/changes/changes.xml (original)
+++ commons/proper/math/trunk/src/changes/changes.xml Sat Jul 14 21:19:36 2012
@@ -52,6 +52,10 @@ If the output is not quite correct, chec
<body>
<release version="3.1" date="TBD" description="
">
+ <action dev="tn" type="add" issue="MATH-822" due-to="Jared Becksfort">
+ Added new constructors in EigenDecomposition and deprecated two constructors
+ with unused parameters.
+ </action>
<action dev="erans" type="fix" issue="MATH-798">
Added overridden method in "PolynomialFitter" (package
"o.a.c.m.optimization.fitting") to limit the number of evaluations.
@@ -78,8 +82,7 @@ If the output is not quite correct, chec
</action>
<action dev="celestin" type="remove" issue="MATH-796">
Removed unused fields LocalizedFormats.ALPHA and LocalizedFormats.BETA. This is
- an acceptable compatibility break, as these fields are only meant for internal
-use.
+ an acceptable compatibility break, as these fields are only meant for internal use.
</action>
<action dev="tn" type="fix" issue="MATH-644" due-to="marzieh">
Fix computation of upperCumulativeProbability in HypergeometricDistribution and
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/EigenDecomposition.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/EigenDecomposition.java?rev=1361587&r1=1361586&r2=1361587&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/EigenDecomposition.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/linear/EigenDecomposition.java Sat Jul 14 21:19:36 2012
@@ -104,12 +104,9 @@ public class EigenDecomposition {
* Calculates the eigen decomposition of the given real matrix.
*
* @param matrix Matrix to decompose.
- * @param splitTolerance Dummy parameter (present for backward
- * compatibility only).
* @throws MaxCountExceededException if the algorithm fails to converge.
*/
- public EigenDecomposition(final RealMatrix matrix,
- final double splitTolerance) {
+ public EigenDecomposition(final RealMatrix matrix) {
if (isSymmetric(matrix, false)) {
transformToTridiagonal(matrix);
findEigenVectors(transformer.getQ().getData());
@@ -120,17 +117,28 @@ public class EigenDecomposition {
}
/**
+ * Calculates the eigen decomposition of the given real matrix.
+ *
+ * @param matrix Matrix to decompose.
+ * @param splitTolerance Dummy parameter (present for backward
+ * compatibility only).
+ * @throws MaxCountExceededException if the algorithm fails to converge.
+ * @deprecated in 3.1 (to be removed in 4.0) due to unused parameter
+ */
+ public EigenDecomposition(final RealMatrix matrix,
+ final double splitTolerance) {
+ this(matrix);
+ }
+
+ /**
* Calculates the eigen decomposition of the symmetric tridiagonal
* matrix. The Householder matrix is assumed to be the identity matrix.
*
* @param main Main diagonal of the symmetric tridiagonal form.
* @param secondary Secondary of the tridiagonal form.
- * @param splitTolerance Dummy parameter (present for backward
- * compatibility only).
* @throws MaxCountExceededException if the algorithm fails to converge.
*/
- public EigenDecomposition(final double[] main, final double[] secondary,
- final double splitTolerance) {
+ public EigenDecomposition(final double[] main, final double[] secondary) {
this.main = main.clone();
this.secondary = secondary.clone();
transformer = null;
@@ -143,6 +151,22 @@ public class EigenDecomposition {
}
/**
+ * Calculates the eigen decomposition of the symmetric tridiagonal
+ * matrix. The Householder matrix is assumed to be the identity matrix.
+ *
+ * @param main Main diagonal of the symmetric tridiagonal form.
+ * @param secondary Secondary of the tridiagonal form.
+ * @param splitTolerance Dummy parameter (present for backward
+ * compatibility only).
+ * @throws MaxCountExceededException if the algorithm fails to converge.
+ * @deprecated in 3.1 (to be removed in 4.0) due to unused parameter
+ */
+ public EigenDecomposition(final double[] main, final double[] secondary,
+ final double splitTolerance) {
+ this(main, secondary);
+ }
+
+ /**
* Check if a matrix is symmetric.
*
* @param matrix Matrix to check.