Fixed javadoc typos.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141432 13f79535-47bb-0310-9956-ffa450edef68
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@ -22,7 +22,7 @@ import java.math.BigDecimal;
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* Interface defining a real-valued matrix with basic algebraic operations, using
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* BigDecimal representations for the entries.
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*
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* @version $Revision: 1.4 $ $Date: 2004/07/11 04:49:24 $
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* @version $Revision: 1.5 $ $Date: 2004/08/22 01:42:58 $
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*/
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public interface BigMatrix {
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@ -68,7 +68,7 @@ public interface BigMatrix {
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BigMatrix scalarMultiply(BigDecimal d);
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/**
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* Returns the result postmultiplying this by m.
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* Returns the result of postmultiplying this by m.
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*
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* @param m matrix to postmultiply by
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* @return this * m
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@ -39,7 +39,7 @@ import java.math.BigDecimal;
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* explicitly invoke <code>LUDecompose()</code> to recompute the decomposition
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* before using any of the methods above.
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*
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* @version $Revision: 1.3 $ $Date: 2004/07/11 04:49:24 $
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* @version $Revision: 1.4 $ $Date: 2004/08/22 01:42:58 $
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*/
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public class BigMatrixImpl implements BigMatrix, Serializable {
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@ -239,7 +239,7 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
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}
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/**
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* Returns the result postmultiplying this by <code>m</code>.
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* Returns the result of postmultiplying this by <code>m</code>.
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* @param m matrix to postmultiply by
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* @return this*m
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* @throws IllegalArgumentException
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@ -18,7 +18,7 @@ package org.apache.commons.math.linear;
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/**
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* Interface defining a real-valued matrix with basic algebraic operations
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* @version $Revision: 1.19 $ $Date: 2004/06/07 03:26:31 $
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* @version $Revision: 1.20 $ $Date: 2004/08/22 01:42:58 $
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*/
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public interface RealMatrix {
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@ -64,7 +64,7 @@ public interface RealMatrix {
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RealMatrix scalarMultiply(double d);
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/**
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* Returns the result postmultiplying this by m.
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* Returns the result of postmultiplying this by m.
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*
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* @param m matrix to postmultiply by
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* @return this * m
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@ -38,7 +38,7 @@ import java.io.Serializable;
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* explicitly invoke <code>LUDecompose()</code> to recompute the decomposition
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* before using any of the methods above.
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*
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* @version $Revision: 1.25 $ $Date: 2004/06/23 16:26:17 $
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* @version $Revision: 1.26 $ $Date: 2004/08/22 01:42:58 $
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*/
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public class RealMatrixImpl implements RealMatrix, Serializable {
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@ -202,7 +202,7 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
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}
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/**
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* Returns the result postmultiplying this by <code>m</code>.
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* Returns the result of postmultiplying this by <code>m</code>.
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* @param m matrix to postmultiply by
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* @return this*m
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* @throws IllegalArgumentException
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@ -33,9 +33,9 @@ import java.util.TreeMap;
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* the same effect (similarly for arguments to <code>getCount,</code> etc.).
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* <p>
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* The values are ordered using the default (natural order), unless a
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* <code>Comparator</code>is supplied in the constructor.
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* <code>Comparator</code> is supplied in the constructor.
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*
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* @version $Revision: 1.26 $ $Date: 2004/08/12 15:33:39 $
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* @version $Revision: 1.27 $ $Date: 2004/08/22 01:42:58 $
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*/
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public class Frequency implements Serializable {
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@ -407,7 +407,7 @@ public class Frequency implements Serializable {
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}
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/**
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* Returns the cumulative percentatge of values less than or equal to v
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* Returns the cumulative percentage of values less than or equal to v
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* (as a proportion between 0 and 1).
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* <p>
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* Returns 0 if v is not comparable to the values set.
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@ -23,7 +23,7 @@ package org.apache.commons.math.stat.univariate;
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* This interface is designed to be used for calculating statistics that can be computed in
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* one pass through the data without storing the full array of sample values.
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*
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* @version $Revision: 1.18 $ $Date: 2004/07/10 17:09:08 $
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* @version $Revision: 1.19 $ $Date: 2004/08/22 01:42:58 $
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*/
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public interface StorelessUnivariateStatistic extends UnivariateStatistic {
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@ -70,7 +70,7 @@ public interface StorelessUnivariateStatistic extends UnivariateStatistic {
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long getN();
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/**
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* Clears all the internal state of the Statistic
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* Clears the internal state of the Statistic
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*/
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void clear();
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@ -44,7 +44,7 @@ import org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic;
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* <p>
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* To compute percentiles, the data must be (totally) ordered. Input arrays
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* are copied and then sorted using {@link java.util.Arrays#sort(double[])}.
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* The ordering used by <code>Arrays.sort(double[]</code> is the one determined
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* The ordering used by <code>Arrays.sort(double[])</code> is the one determined
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* by {@link java.lang.Double#compareTo(Double)}. This ordering makes
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* <code>Double.NaN</code> larger than any other value (including
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* <code>Double.POSITIVE_INFINITY</code>). Therefore, for example, the median
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@ -60,7 +60,7 @@ import org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic;
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* one of the threads invokes the <code>increment()</code> or
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* <code>clear()</code> method, it must be synchronized externally.
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*
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* @version $Revision: 1.23 $ $Date: 2004/07/11 18:39:08 $
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* @version $Revision: 1.24 $ $Date: 2004/08/22 01:42:58 $
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*/
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public class Percentile extends AbstractUnivariateStatistic implements Serializable {
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