You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@commons.apache.org by er...@apache.org on 2012/02/21 15:31:58 UTC
svn commit: r1291806 [2/2] -
/commons/proper/math/trunk/src/site/xdoc/userguide/
Modified: commons/proper/math/trunk/src/site/xdoc/userguide/special.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/special.xml?rev=1291806&r1=1291805&r2=1291806&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/special.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/special.xml Tue Feb 21 14:31:56 2012
@@ -35,7 +35,7 @@
</subsection>
<subsection name="5.2 Erf functions" href="erf">
<p>
- <a href="../apidocs/org/apache/commons/math/special/Erf.html">Erf</a> contains
+ <a href="../apidocs/org/apache/commons/math3/special/Erf.html">Erf</a> contains
several useful functions involving the Error Function, Erf.
<table>
<tr><th>Function</th><th>Method</th><th>Reference</th></tr>
@@ -45,7 +45,7 @@
</subsection>
<subsection name="5.3 Gamma functions" href="gamma">
<p>
- <a href="../apidocs/org/apache/commons/math/special/Gamma.html">Gamma</a>
+ <a href="../apidocs/org/apache/commons/math3/special/Gamma.html">Gamma</a>
contains several useful functions involving the Gamma Function.
<table>
<tr><th>Function</th><th>Method</th><th>Reference</th></tr>
@@ -56,7 +56,7 @@
</subsection>
<subsection name="5.4 Beta funtions" href="beta">
<p>
- <a href="../apidocs/org/apache/commons/math/special/Beta.html">Beta</a>
+ <a href="../apidocs/org/apache/commons/math3/special/Beta.html">Beta</a>
contains several useful functions involving the Beta Function.
<table>
<tr><th>Function</th><th>Method</th><th>Reference</th></tr>
Modified: commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml?rev=1291806&r1=1291805&r2=1291806&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml Tue Feb 21 14:31:56 2012
@@ -63,12 +63,12 @@
</p>
<p>
The top level interface is
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/UnivariateStatistic.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/UnivariateStatistic.html">
UnivariateStatistic</a>.
This interface, implemented by all statistics, consists of
<code>evaluate()</code> methods that take double[] arrays as arguments
and return the value of the statistic. This interface is extended by
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/StorelessUnivariateStatistic.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/StorelessUnivariateStatistic.html">
StorelessUnivariateStatistic</a>, which adds <code>increment(),</code>
<code>getResult()</code> and associated methods to support
"storageless" implementations that maintain counters, sums or other
@@ -77,9 +77,9 @@
</p>
<p>
Abstract implementations of the top level interfaces are provided in
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/AbstractUnivariateStatistic.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/AbstractUnivariateStatistic.html">
AbstractUnivariateStatistic</a> and
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/AbstractStorelessUnivariateStatistic.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/AbstractStorelessUnivariateStatistic.html">
AbstractStorelessUnivariateStatistic</a> respectively.
</p>
<p>
@@ -89,9 +89,9 @@
compute the statistic). There are several ways to instantiate and use statistics.
Statistics can be instantiated and used directly, but it is generally more convenient
(and efficient) to access them using the provided aggregates,
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/DescriptiveStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/DescriptiveStatistics.html">
DescriptiveStatistics</a> and
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/SummaryStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/SummaryStatistics.html">
SummaryStatistics.</a>
</p>
<p>
@@ -109,18 +109,18 @@
<table>
<tr><th>Aggregate</th><th>Statistics Included</th><th>Values stored?</th>
<th>"Rolling" capability?</th></tr><tr><td>
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/DescriptiveStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/DescriptiveStatistics.html">
DescriptiveStatistics</a></td><td>min, max, mean, geometric mean, n,
sum, sum of squares, standard deviation, variance, percentiles, skewness,
kurtosis, median</td><td>Yes</td><td>Yes</td></tr><tr><td>
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/SummaryStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/SummaryStatistics.html">
SummaryStatistics</a></td><td>min, max, mean, geometric mean, n,
sum, sum of squares, standard deviation, variance</td><td>No</td><td>No</td></tr>
</table>
</p>
<p>
<code>SummaryStatistics</code> can be aggregated using
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/AggregateSummaryStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/AggregateSummaryStatistics.html">
AggregateSummaryStatistics.</a> This class can be used to concurrently
gather statistics for multiple datasets as well as for a combined sample
including all of the data.
@@ -134,19 +134,19 @@
<p>
Neither <code>DescriptiveStatistics</code> nor <code>SummaryStatistics</code>
is thread-safe.
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/SynchronizedDescriptiveStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/SynchronizedDescriptiveStatistics.html">
SynchronizedDescriptiveStatistics</a> and
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/SynchronizedSummaryStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/SynchronizedSummaryStatistics.html">
SynchronizedSummaryStatistics</a>, respectively, provide thread-safe
versions for applications that require concurrent access to statistical
aggregates by multiple threads.
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/SynchronizedMultiVariateSummaryStatistics.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/SynchronizedMultiVariateSummaryStatistics.html">
SynchronizedMultivariateSummaryStatistics</a> provides thread-safe
<code>MultivariateSummaryStatistics.</code>
</p>
<p>
There is also a utility class,
- <a href="../apidocs/org/apache/commons/math/stat/StatUtils.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/StatUtils.html">
StatUtils</a>, that provides static methods for computing statistics
directly from double[] arrays.
</p>
@@ -244,7 +244,7 @@ DescriptiveStatistics stats = new Synchr
The first is to use an <code>AggregateSummaryStatistics</code> instance
to accumulate overall statistics contributed by <code>SummaryStatistics</code>
instances created using
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/AggregateSummaryStatistics.html#createContributingStatistics()">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/AggregateSummaryStatistics.html#createContributingStatistics()">
AggregateSummaryStatistics.createContributingStatistics()</a>:
<source>
// Create a AggregateSummaryStatistics instance to accumulate the overall statistics
@@ -265,7 +265,7 @@ double totalSampleSum = aggregate.getSum
<code>SummaryStatistics</code> instance maintained by the aggregate and each value addition updates the
aggregate as well as the subsample. For applications that can wait to do the aggregation until all values
have been added, a static
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/AggregateSummaryStatistics.html#aggregate(java.util.Collection)">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/AggregateSummaryStatistics.html#aggregate(java.util.Collection)">
aggregate</a> method is available, as shown in the following example.
This method should be used when aggregation needs to be done across threads.
<source>
@@ -293,7 +293,7 @@ double totalSampleSum = aggregatedStats.
</subsection>
<subsection name="1.3 Frequency distributions">
<p>
- <a href="../apidocs/org/apache/commons/math/stat/Frequency.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/Frequency.html">
Frequency</a>
provides a simple interface for maintaining counts and percentages of discrete
values.
@@ -357,7 +357,7 @@ System.out.println(f.getCumPct("z")); /
</subsection>
<subsection name="1.4 Simple regression">
<p>
- <a href="../apidocs/org/apache/commons/math/stat/regression/SimpleRegression.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/SimpleRegression.html">
SimpleRegression</a> provides ordinary least squares regression with
one independent variable estimating the linear model:
</p>
@@ -393,7 +393,7 @@ System.out.println(f.getCumPct("z")); /
"compute" method that updates all statistics. Each of the getters performs
the necessary computations to return the requested statistic.</li>
<li> The intercept term may be suppressed by passing <code>false</code> to the
- <a href="../apidocs/org/apache/commons/math/stat/regression/SimpleRegression.html#SimpleRegression(boolean)">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/SimpleRegression.html#SimpleRegression(boolean)">
SimpleRegression(boolean)</a> constructor. When the <code>hasIntercept</code>
property is false, the model is estimated without a constant term and
<code>getIntercept()</code> returns <code>0</code>.</li>
@@ -511,9 +511,9 @@ System.out.println(regression.getInterce
</subsection>
<subsection name="1.5 Multiple linear regression">
<p>
- <a href="../apidocs/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/OLSMultipleLinearRegression.html">
OLSMultipleLinearRegression</a> and
- <a href="../apidocs/org/apache/commons/math/stat/regression/GLSMultipleLinearRegression.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/GLSMultipleLinearRegression.html">
GLSMultipleLinearRegression</a> provide least squares regression to fit the linear model:
</p>
<p>
@@ -525,9 +525,9 @@ System.out.println(regression.getInterce
of <b>error terms</b> or <b>residuals</b>.
</p>
<p>
- <a href="../apidocs/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/OLSMultipleLinearRegression.html">
OLSMultipleLinearRegression</a> provides Ordinary Least Squares Regression, and
- <a href="../apidocs/org/apache/commons/math/stat/regression/GLSMultipleLinearRegression.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/GLSMultipleLinearRegression.html">
GLSMultipleLinearRegression</a> implements Generalized Least Squares. See the javadoc for these
classes for details on the algorithms and forumlas used.
</p>
@@ -535,11 +535,11 @@ System.out.println(regression.getInterce
Data for OLS models can be loaded in a single double[] array, consisting of concatenated rows of data, each containing
the regressand (Y) value, followed by regressor values; or using a double[][] array with rows corresponding to
observations. GLS models also require a double[][] array representing the covariance matrix of the error terms. See
- <a href="../apidocs/org/apache/commons/math/stat/regression/AbstractMultipleLinearRegression.html#newSampleData(double[], int, int)">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.html#newSampleData(double[], int, int)">
AbstractMultipleLinearRegression#newSampleData(double[],int,int)</a>,
- <a href="../apidocs/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.html#newSampleData(double[], double[][])">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/OLSMultipleLinearRegression.html#newSampleData(double[], double[][])">
OLSMultipleLinearRegression#newSampleData(double[], double[][])</a> and
- <a href="../apidocs/org/apache/commons/math/stat/regression/GLSMultipleLinearRegression.html#newSampleData(double[], double[][], double[][])">
+ <a href="../apidocs/org/apache/commons/math3/stat/regression/GLSMultipleLinearRegression.html#newSampleData(double[], double[][], double[][])">
GLSMultipleLinearRegression#newSampleData(double[],double[][],double[][])</a> for details.
</p>
<p>
@@ -617,16 +617,16 @@ regression.newSampleData(y, x, omega);
<subsection name="1.6 Rank transformations">
<p>
Some statistical algorithms require that input data be replaced by ranks.
- The <a href="../apidocs/org/apache/commons/math/stat/ranking/package-summary.html">
+ The <a href="../apidocs/org/apache/commons/math3/stat/ranking/package-summary.html">
org.apache.commons.math3.stat.ranking</a> package provides rank transformation.
- <a href="../apidocs/org/apache/commons/math/stat/ranking/RankingAlgorithm.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/ranking/RankingAlgorithm.html">
RankingAlgorithm</a> defines the interface for ranking.
- <a href="../apidocs/org/apache/commons/math/stat/ranking/NaturalRanking.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/ranking/NaturalRanking.html">
NaturalRanking</a> provides an implementation that has two configuration options.
<ul>
- <li><a href="../apidocs/org/apache/commons/math/stat/ranking/TiesStrategy.html">
+ <li><a href="../apidocs/org/apache/commons/math3/stat/ranking/TiesStrategy.html">
Ties strategy</a> deterimines how ties in the source data are handled by the ranking</li>
- <li><a href="../apidocs/org/apache/commons/math/stat/ranking/NaNStrategy.html">
+ <li><a href="../apidocs/org/apache/commons/math3/stat/ranking/NaNStrategy.html">
NaN strategy</a> determines how NaN values in the source data are handled.</li>
</ul>
</p>
@@ -650,22 +650,22 @@ new NaturalRanking(NaNStrategy.REMOVED,T
values larger than any other value (including <code>Double.POSITIVE_INFINITY</code>). The
default <code>TiesStrategy</code> is <code>TiesStrategy.AVERAGE,</code> which assigns tied
values the average of the ranks applicable to the sequence of ties. See the
- <a href="../apidocs/org/apache/commons/math/stat/ranking/NaturalRanking.html">
- NaturalRanking</a> for more examples and <a href="../apidocs/org/apache/commons/math/stat/ranking/TiesStrategy.html">
- TiesStrategy</a> and <a href="../apidocs/org/apache/commons/math/stat/ranking/NaNStrategy.html">NaNStrategy</a>
+ <a href="../apidocs/org/apache/commons/math3/stat/ranking/NaturalRanking.html">
+ NaturalRanking</a> for more examples and <a href="../apidocs/org/apache/commons/math3/stat/ranking/TiesStrategy.html">
+ TiesStrategy</a> and <a href="../apidocs/org/apache/commons/math3/stat/ranking/NaNStrategy.html">NaNStrategy</a>
for details on these configuration options.
</p>
</subsection>
<subsection name="1.7 Covariance and correlation">
<p>
- The <a href="../apidocs/org/apache/commons/math/stat/correlation/package-summary.html">
+ The <a href="../apidocs/org/apache/commons/math3/stat/correlation/package-summary.html">
org.apache.commons.math3.stat.correlation</a> package computes covariances
and correlations for pairs of arrays or columns of a matrix.
- <a href="../apidocs/org/apache/commons/math/stat/correlation/Covariance.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/correlation/Covariance.html">
Covariance</a> computes covariances,
- <a href="../apidocs/org/apache/commons/math/stat/correlation/PearsonsCorrelation.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/correlation/PearsonsCorrelation.html">
PearsonsCorrelation</a> provides Pearson's Product-Moment correlation coefficients and
- <a href="../apidocs/org/apache/commons/math/stat/correlation/SpearmansCorrelation.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/correlation/SpearmansCorrelation.html">
SpearmansCorrelation</a> computes Spearman's rank correlation.
</p>
<p>
@@ -681,17 +681,17 @@ new NaturalRanking(NaNStrategy.REMOVED,T
defaults to <code>true.</code>
</li>
<li>
- <a href="../apidocs/org/apache/commons/math/stat/correlation/PearsonsCorrelation.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/correlation/PearsonsCorrelation.html">
PearsonsCorrelation</a> computes correlations defined by the formula <br></br>
<code>cor(X, Y) = sum[(x<sub>i</sub> - E(X))(y<sub>i</sub> - E(Y))] / [(n - 1)s(X)s(Y)]</code><br/>
where <code>E(X)</code> and <code>E(Y)</code> are means of <code>X</code> and <code>Y</code>
and <code>s(X)</code>, <code>s(Y)</code> are standard deviations.
</li>
<li>
- <a href="../apidocs/org/apache/commons/math/stat/correlation/SpearmansCorrelation.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/correlation/SpearmansCorrelation.html">
SpearmansCorrelation</a> applies a rank transformation to the input data and computes Pearson's
correlation on the ranked data. The ranking algorithm is configurable. By default,
- <a href="../apidocs/org/apache/commons/math/stat/ranking/NaturalRanking.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/ranking/NaturalRanking.html">
NaturalRanking</a> with default strategies for handling ties and NaN values is used.
</li>
</ul>
@@ -805,7 +805,7 @@ new PearsonsCorrelation().correlation(ra
<subsection name="1.8 Statistical tests">
<p>
The interfaces and implementations in the
- <a href="../apidocs/org/apache/commons/math/stat/inference/">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/">
org.apache.commons.math3.stat.inference</a> package provide
<a href="http://www.itl.nist.gov/div898/handbook/prc/section2/prc22.htm">
Student's t</a>,
@@ -817,19 +817,19 @@ new PearsonsCorrelation().correlation(ra
p-values</a> associated with <code>t-</code>,
<code>Chi-Square</code> and <code>One-Way ANOVA</code> tests. The
interfaces are
- <a href="../apidocs/org/apache/commons/math/stat/inference/TTest.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/TTest.html">
TTest</a>,
- <a href="../apidocs/org/apache/commons/math/stat/inference/ChiSquareTest.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/ChiSquareTest.html">
ChiSquareTest</a>, and
- <a href="../apidocs/org/apache/commons/math/stat/inference/OneWayAnova.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/OneWayAnova.html">
OneWayAnova</a> with provided implementations
- <a href="../apidocs/org/apache/commons/math/stat/inference/TTestImpl.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/TTestImpl.html">
TTestImpl</a>,
- <a href="../apidocs/org/apache/commons/math/stat/inference/ChiSquareTestImpl.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/ChiSquareTestImpl.html">
ChiSquareTestImpl</a> and
- <a href="../apidocs/org/apache/commons/math/stat/inference/OneWayAnovaImpl.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/inference/OneWayAnovaImpl.html">
OneWayAnovaImpl</a>, respectively.
- The <a href="../apidocs/org/apache/commons/math/stat/inference/TestUtils.html">
+ The <a href="../apidocs/org/apache/commons/math3/stat/inference/TestUtils.html">
TestUtils</a> class provides static methods to get test instances or
to compute test statistics directly. The examples below all use the
static methods in <code>TestUtils</code> to execute tests. To get
@@ -889,7 +889,7 @@ System.out.println(TestUtils.t(mu, obser
<code>mu.</code>
</dd>
<dd>To compare the mean of a dataset described by a
- <a href="../apidocs/org/apache/commons/math/stat/descriptive/StatisticalSummary.html">
+ <a href="../apidocs/org/apache/commons/math3/stat/descriptive/StatisticalSummary.html">
StatisticalSummary</a> to a fixed value:
<source>
double[] observed ={1d, 2d, 3d};
Modified: commons/proper/math/trunk/src/site/xdoc/userguide/transform.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/transform.xml?rev=1291806&r1=1291805&r2=1291806&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/transform.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/transform.xml Tue Feb 21 14:31:56 2012
@@ -31,13 +31,13 @@
This package provides a few transformers for signal analysis. All transformers
provide both direct and inverse transforms.
<ul>
- <li><a href="../apidocs/org/apache/commons/math/transform/FastFourierTransformer.html">
+ <li><a href="../apidocs/org/apache/commons/math3/transform/FastFourierTransformer.html">
FastFourierTransformer</a> (produces <code>Complex</code> results)</li>
- <li><a href="../apidocs/org/apache/commons/math/transform/FastCosineTransformer.html">
+ <li><a href="../apidocs/org/apache/commons/math3/transform/FastCosineTransformer.html">
FastCosineTransformer</a> (produces real results)</li>
- <li><a href="../apidocs/org/apache/commons/math/transform/FastSineTransformer.html">
+ <li><a href="../apidocs/org/apache/commons/math3/transform/FastSineTransformer.html">
FastSineTransformer</a> (produces real results)</li>
- <li><a href="../apidocs/org/apache/commons/math/transform/FastHadamardTransformer.html">
+ <li><a href="../apidocs/org/apache/commons/math3/transform/FastHadamardTransformer.html">
FastHadamardTransformer</a> (produces real results)</li>
</ul>
</p>
Modified: commons/proper/math/trunk/src/site/xdoc/userguide/utilities.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/utilities.xml?rev=1291806&r1=1291805&r2=1291806&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/utilities.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/utilities.xml Tue Feb 21 14:31:56 2012
@@ -31,7 +31,7 @@
<subsection name="6.1 Overview" href="overview">
<p>
- The <a href="../apidocs/org/apache/commons/math/util/package-summary.html">
+ The <a href="../apidocs/org/apache/commons/math3/util/package-summary.html">
org.apache.commons.math3.util</a> package collects a group of array utilities,
value transformers, and numerical routines used by implementation classes in
commons-math.
@@ -44,7 +44,7 @@
array implementation was developed and is provided for reuse in the
<code>util</code> package. The core functionality provided is described in
the documentation for the interface,
- <a href="../apidocs/org/apache/commons/math/util/DoubleArray.html">
+ <a href="../apidocs/org/apache/commons/math3/util/DoubleArray.html">
DoubleArray</a>. This interface adds one method,
<code>addElementRolling(double)</code> to basic list accessors.
The <code>addElementRolling</code> method adds an element
@@ -52,7 +52,7 @@
in the list.
</p>
<p>
- The <a href="../apidocs/org/apache/commons/math/util/ResizableDoubleArray.html">
+ The <a href="../apidocs/org/apache/commons/math3/util/ResizableDoubleArray.html">
ResizableDoubleArray</a> class provides a configurable, array-backed
implementation of the <code>DoubleArray</code> interface.
When <code>addElementRolling</code> is invoked, the underlying
@@ -66,7 +66,7 @@
automatically, with frequency / effect driven by the configuration
properties <code>expansionMode</code>, <code>expansionFactor</code> and
<code>contractionCriteria.</code> See
- <a href="../apidocs/org/apache/commons/math/util/ResizableDoubleArray.html">
+ <a href="../apidocs/org/apache/commons/math3/util/ResizableDoubleArray.html">
ResizableDoubleArray</a>
for details.
</p>
@@ -74,7 +74,7 @@
<subsection name="6.3 int/double hash map" href="int_double_hash_map">
<p>
- The <a href="../apidocs/org/apache/commons/math/util/OpenIntToDoubleHashMap.html">
+ The <a href="../apidocs/org/apache/commons/math3/util/OpenIntToDoubleHashMap.html">
OpenIntToDoubleHashMap</a> class provides a specialized hash map
implementation for int/double. This implementation has a much smaller memory
overhead than standard <code>java.util.HashMap</code> class. It uses open addressing
@@ -85,7 +85,7 @@
<subsection name="6.4 Continued Fractions" href="continued_fractions">
<p>
- The <a href="../apidocs/org/apache/commons/math/util/ContinuedFraction.html">
+ The <a href="../apidocs/org/apache/commons/math3/util/ContinuedFraction.html">
ContinuedFraction</a> class provides a generic way to create and evaluate
continued fractions. The easiest way to create a continued fraction is
to subclass <code>ContinuedFraction</code> and override the
@@ -149,7 +149,7 @@
<subsection name="6.5 Binomial coefficients, factorials and other common math functions" href="binomial_coefficients_factorials_and_other_common_math_functions">
<p>
A collection of reusable math functions is provided in the
- <a href="../apidocs/org/apache/commons/math/util/MathUtils.html">MathUtils</a>
+ <a href="../apidocs/org/apache/commons/math3/util/MathUtils.html">MathUtils</a>
utility class. MathUtils currently includes methods to compute the following: <ul>
<li>
Binomial coefficients -- "n choose k" available as an (exact) long value,
@@ -245,7 +245,7 @@
</subsection>
<subsection name="6.7 Miscellaneous" href="miscellaneous">
- The <a href="../apidocs/org/apache/commons/math/util/MultidimensionalCounter.html">
+ The <a href="../apidocs/org/apache/commons/math3/util/MultidimensionalCounter.html">
MultidimensionalCounter</a> is a utility class that converts a set of indices
(identifying points in a multidimensional space) to a single index (e.g. identifying
a location in a one-dimensional array.