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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *<p>
+ *This package provides common interfaces for the optimization algorithms
+ *provided in sub-packages. The main interfaces defines optimizers and 
convergence
+ *checkers. The functions that are optimized by the algorithms provided by this
+ *package and its sub-packages are a subset of the one defined in the 
<code>analysis</code>
+ *package, namely the real and vector valued functions. These functions are 
called
+ *objective function here. When the goal is to minimize, the functions are 
often called
+ *cost function, this name is not used in this package.
+ *</p>
+ *
+ *<p>
+ *Optimizers are the algorithms that will either minimize or maximize, the 
objective function
+ *by changing its input variables set until an optimal set is found. There are 
only four
+ *interfaces defining the common behavior of optimizers, one for each 
supported type of objective
+ *function:
+ *<ul>
+ *  <li>{@link 
org.apache.commons.math.optimization.univariate.UnivariateRealOptimizer
+ *      UnivariateRealOptimizer} for {@link 
org.apache.commons.math.analysis.UnivariateRealFunction
+ *      univariate real functions}</li>
+ *  <li>{@link org.apache.commons.math.optimization.MultivariateRealOptimizer
+ *      MultivariateRealOptimizer} for {@link 
org.apache.commons.math.analysis.MultivariateRealFunction
+ *      multivariate real functions}</li>
+ *  <li>{@link 
org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
+ *      DifferentiableMultivariateRealOptimizer} for {@link
+ *      org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction
+ *      differentiable multivariate real functions}</li>
+ *  <li>{@link 
org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
+ *      DifferentiableMultivariateVectorialOptimizer} for {@link
+ *      
org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction
+ *      differentiable multivariate vectorial functions}</li>
+ *</ul>
+ *</p>
+ *
+ *<p>
+ *Despite there are only four types of supported optimizers, it is possible to 
optimize a
+ *transform a {@link 
org.apache.commons.math.analysis.MultivariateVectorialFunction
+ *non-differentiable multivariate vectorial function} by converting it to a 
{@link
+ *org.apache.commons.math.analysis.MultivariateRealFunction non-differentiable 
multivariate
+ *real function} thanks to the {@link
+ *org.apache.commons.math.optimization.LeastSquaresConverter 
LeastSquaresConverter} helper class.
+ *The transformed function can be optimized using any implementation of the 
{@link
+ *org.apache.commons.math.optimization.MultivariateRealOptimizer 
MultivariateRealOptimizer} interface.
+ *</p>
+ *
+ *<p>
+ *For each of the four types of supported optimizers, there is a special 
implementation which
+ *wraps a classical optimizer in order to add it a multi-start feature. This 
feature call the
+ *underlying optimizer several times in sequence with different starting 
points and returns
+ *the best optimum found or all optima if desired. This is a classical way to 
prevent being
+ *trapped into a local extremum when looking for a global one.
+ *</p>
+ *
+ */
+package org.apache.commons.math.optimization;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *     Univariate real functions minimum finding algorithms.
+ *    
+ */
+package org.apache.commons.math.optimization.univariate;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Common classes used throughout the commons-math library.
+ */
+package org.apache.commons.math;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *      <p>Random number and random data generators.</p>
+ *      <p>Commons-math provides a few pseudo random number generators. The 
top level interface is RandomGenerator.
+ *      It is implemented by three classes:
+ *      <ul>
+ *        <li>{@link org.apache.commons.math.random.JDKRandomGenerator 
JDKRandomGenerator}
+ *            that extends the JDK provided generator</li>
+ *        <li>AbstractRandomGenerator as a helper for users generators</li>
+ *        <li>BitStreamGenerator which is an abstract class for several 
generators and
+ *            which in turn is extended by:
+ *            <ul>
+ *              <li>{@link org.apache.commons.math.random.MersenneTwister 
MersenneTwister}</li>
+ *              <li>{@link org.apache.commons.math.random.Well512a 
Well512a}</li>
+ *              <li>{@link org.apache.commons.math.random.Well1024a 
Well1024a}</li>
+ *              <li>{@link org.apache.commons.math.random.Well19937a 
Well19937a}</li>
+ *              <li>{@link org.apache.commons.math.random.Well19937c 
Well19937c}</li>
+ *              <li>{@link org.apache.commons.math.random.Well44497a 
Well44497a}</li>
+ *              <li>{@link org.apache.commons.math.random.Well44497b 
Well44497b}</li>
+ *            </ul>
+ *          </li>
+ *        </ul>
+ *      </p>
+ *
+ *      <p>
+ *      The JDK provided generator is a simple one that can be used only for 
very simple needs.
+ *      The Mersenne Twister is a fast generator with very good properties 
well suited for
+ *      Monte-Carlo simulation. It is equidistributed for generating vectors 
up to dimension 623
+ *      and has a huge period: 2<sup>19937</sup> - 1 (which is a Mersenne 
prime). This generator
+ *      is described in a paper by Makoto Matsumoto and Takuji Nishimura in 
1998: <a
+ *      
href="http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/ARTICLES/mt.pdf";>Mersenne 
Twister:
+ *      A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number 
Generator</a>, ACM
+ *      Transactions on Modeling and Computer Simulation, Vol. 8, No. 1, 
January 1998, pp 3--30.
+ *      The WELL generators are a family of generators with period ranging 
from 2<sup>512</sup> - 1
+ *      to 2<sup>44497</sup> - 1 (this last one is also a Mersenne prime) with 
even better properties
+ *      than Mersenne Twister. These generators are described in a paper by 
Fran&ccedil;ois Panneton,
+ *      Pierre L'Ecuyer and Makoto Matsumoto <a
+ *      
href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng.pdf";>Improved 
Long-Period
+ *      Generators Based on Linear Recurrences Modulo 2</a> ACM Transactions 
on Mathematical Software,
+ *      32, 1 (2006). The errata for the paper are in <a
+ *      
href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng-errata.txt";>wellrng-errata.txt</a>.
+ *      </p>
+ *
+ *      <p>
+ *      For simple sampling, any of these generators is sufficient. For 
Monte-Carlo simulations the
+ *      JDK generator does not have any of the good mathematical properties of 
the other generators,
+ *      so it should be avoided. The Mersenne twister and WELL generators have 
equidistribution properties
+ *      proven according to their bits pool size which is directly linked to 
their period (all of them
+ *      have maximal period, i.e. a generator with size n pool has a period 
2<sup>n</sup>-1). They also
+ *      have equidistribution properties for 32 bits blocks up to s/32 
dimension where s is their pool size.
+ *      So WELL19937c for exemple is equidistributed up to dimension 623 
(19937/32). This means a Monte-Carlo
+ *      simulation generating a vector of n variables at each iteration has 
some guarantees on the properties
+ *      of the vector as long as its dimension does not exceed the limit. 
However, since we use bits from two
+ *      successive 32 bits generated integers to create one double, this limit 
is smaller when the variables are
+ *      of type double. so for Monte-Carlo simulation where less the 16 
doubles are generated at each round,
+ *      WELL1024 may be sufficient. If a larger number of doubles are needed a 
generator with a larger pool
+ *      would be useful.
+ *      </p>
+ *
+ *      <p>
+ *      The WELL generators are more modern then MersenneTwister (the paper 
describing than has been published
+ *      in 2006 instead of 1998) and fix some of its (few) drawbacks. If 
initialization array contains many
+ *      zero bits, MersenneTwister may take a very long time (several hundreds 
of thousands of iterations to
+ *      reach a steady state with a balanced number of zero and one in its 
bits pool). So the WELL generators
+ *      are better to <i>escape zeroland</i> as explained by the WELL 
generators creators. The Well19937a and
+ *      Well44497a generator are not maximally equidistributed (i.e. there are 
some dimensions or bits blocks
+ *      size for which they are not equidistributed). The Well512a, Well1024a, 
Well19937c and Well44497b are
+ *      maximally equidistributed for blocks size up to 32 bits (they should 
behave correctly also for double
+ *      based on more than 32 bits blocks, but equidistribution is not proven 
at these blocks sizes).
+ *      </p>
+ *
+ *      <p>
+ *      The MersenneTwister generator uses a 624 elements integer array, so it 
consumes less than 2.5 kilobytes.
+ *      The WELL generators use 6 integer arrays with a size equal to the pool 
size, so for example the
+ *      WELL44497b generator uses about 33 kilobytes. This may be important if 
a very large number of
+ *      generator instances were used at the same time.
+ *      </p>
+ *
+ *      <p>
+ *      All generators are quite fast. As an example, here are some 
comparisons, obtained on a 64 bits JVM on a
+ *      linux computer with a 2008 processor (AMD phenom Quad 9550 at 2.2 
GHz). The generation rate for
+ *      MersenneTwister was about 27 millions doubles per second (remember we 
generate two 32 bits integers for
+ *      each double). Generation rates for other PRNG, relative to 
MersenneTwister:
+ *      </p>
+ *
+ *      <p>
+ *        <table border="1" align="center">
+ *          <tr BGCOLOR="#CCCCFF"><td colspan="2"><font size="+2">Example of 
performances</font></td></tr>
+ *          <tr BGCOLOR="#EEEEFF"><font size="+1"><td>Name</td><td>generation 
rate (relative to MersenneTwister)</td></font></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.MersenneTwister 
MersenneTwister}</td><td>1</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.JDKRandomGenerator 
JDKRandomGenerator}</td><td>between 0.96 and 1.16</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well512a 
Well512a}</td><td>between 0.85 and 0.88</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well1024a 
Well1024a}</td><td>between 0.63 and 0.73</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well19937a 
Well19937a}</td><td>between 0.70 and 0.71</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well19937c 
Well19937c}</td><td>between 0.57 and 0.71</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well44497a 
Well44497a}</td><td>between 0.69 and 0.71</td></tr>
+ *          <tr><td>{@link org.apache.commons.math.random.Well44497b 
Well44497b}</td><td>between 0.65 and 0.71</td></tr>
+ *        </table>
+ *      </p>
+ *
+ *      <p>
+ *      So for most simulation problems, the better generators like {@link
+ *      org.apache.commons.math.random.Well19937c Well19937c} and {@link
+ *      org.apache.commons.math.random.Well44497b Well44497b} are probably 
very good choices.
+ *      </p>
+ *
+ *      <p>
+ *      Note that <em>none</em> of these generators are suitable for 
cryptography. They are devoted
+ *      to simulation, and to generate very long series with strong properties 
on the series as a whole
+ *      (equidistribution, no correlation ...). They do not attempt to create 
small series but with
+ *      very strong properties of unpredictability as needed in cryptography.
+ *      </p>
+ *
+ *    
+ */
+package org.apache.commons.math.random;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Implementations of special functions such as Beta and Gamma.
+ */
+package org.apache.commons.math.special;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Clustering algorithms
+ */
+package org.apache.commons.math.stat.clustering;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *        Correlations/Covariance computations.
+ *    
+ */
+package org.apache.commons.math.stat.correlation;

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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Summary statistics based on moments.
+ */
+package org.apache.commons.math.stat.descriptive.moment;

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==============================================================================
--- 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,44 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *        Generic univariate summary statistic objects.
+ *
+ *        <h3>UnivariateStatistic API Usage Examples:</h3>
+ *
+ *        <h4>UnivariateStatistic:</h4>
+ *        <code>/&lowast; evaluation approach &lowast;/<br/>
+ *          double[] values = new double[] { 1, 2, 3, 4, 5 };<br/>
+ *          <span style="font-weight: bold;">UnivariateStatistic stat = new 
Mean();</span><br/>
+ *          System.out.println("mean = " + <span style="font-weight: 
bold;">stat.evaluate(values)</span>);<br/>
+ *        </code>
+ *
+ *        <h4>StorelessUnivariateStatistic:</h4>
+ *        <code>/&lowast; incremental approach &lowast;/<br/>
+ *          double[] values = new double[] { 1, 2, 3, 4, 5 };<br/>
+ *          <span style="font-weight: bold;">StorelessUnivariateStatistic stat 
= new Mean();</span><br/>
+ *          System.out.println("mean before adding a value is NaN = " + <span 
style="font-weight: bold;">stat.getResult()</span>);<br/>
+ *          for (int i = 0; i &lt; values.length; i++) {<br/>
+ *            &nbsp;&nbsp;&nbsp; <span style="font-weight: 
bold;">stat.increment(values[i]);</span><br/>
+ *            &nbsp;&nbsp;&nbsp; System.out.println("current mean = " + <span 
style="font-weight: bold;">stat2.getResult()</span>);<br/>
+ *          }<br/>
+ *          <span style="font-weight: bold;"> stat.clear();</span><br/>
+ *          System.out.println("mean after clear is NaN = " + <span 
style="font-weight: bold;">stat.getResult()</span>);
+ *        </code>
+ *    
+ */
+package org.apache.commons.math.stat.descriptive;

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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/rank/package-info.java
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 (added)
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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/rank/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,20 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Summary statistics based on ranks.
+ */
+package org.apache.commons.math.stat.descriptive.rank;

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==============================================================================
--- 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/summary/package-info.java
 (added)
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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/descriptive/summary/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,20 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Other summary statistics.
+ */
+package org.apache.commons.math.stat.descriptive.summary;

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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/inference/package-info.java
URL: 
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==============================================================================
--- 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/inference/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/inference/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *      Classes providing hypothesis testing and confidence interval
+ *      construction.
+ *    
+ */
+package org.apache.commons.math.stat.inference;

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--- 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,20 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Data storage, manipulation and summary routines.
+ */
+package org.apache.commons.math.stat;

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URL: 
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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/ranking/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/ranking/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,22 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *      Classes providing rank transformations.
+ *    
+ */
+package org.apache.commons.math.stat.ranking;

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Added: 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/package-info.java
URL: 
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commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,22 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *      Statistical routines involving multivariate data.
+ *    
+ */
+package org.apache.commons.math.stat.regression;

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commons/proper/math/trunk/src/main/java/org/apache/commons/math/transform/package-info.java
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commons/proper/math/trunk/src/main/java/org/apache/commons/math/transform/package-info.java
 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/transform/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,22 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *
+ *     Implementations of transform methods, including Fast Fourier transforms.
+ *    
+ */
+package org.apache.commons.math.transform;

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 (added)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math/util/package-info.java
 Sat Oct  1 18:51:25 2011
@@ -0,0 +1,20 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ *Convenience routines and common data structures used throughout the 
commons-math library.
+ */
+package org.apache.commons.math.util;

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Modified: commons/proper/math/trunk/src/site/xdoc/changes.xml
URL: 
http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/changes.xml?rev=1178067&r1=1178066&r2=1178067&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/changes.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/changes.xml Sat Oct  1 18:51:25 2011
@@ -52,6 +52,9 @@ The <action> type attribute can be add,u
     If the output is not quite correct, check for invisible trailing spaces!
      -->
     <release version="3.0" date="TBD" description="TBD">
+      <action dev="luc" type="fix" issue="MATH-445" >
+        Replaced package.html with package-info.java for package documentation.
+      </action>
       <action dev="luc" type="fix" issue="MATH-284" due-to="Klaus Hartlage">
         Added a getRuntimeClass method to the Field interface allowing to use a
         complete hierarchy of fields sharing a common interface.


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