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Submitted Javadoc fixes from Andreou Andreas 

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140902 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Tim O'Brien 2003-06-11 14:50:30 +00:00
parent 16c19dcec0
commit 83855b4cd7
9 changed files with 37 additions and 37 deletions
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6
src/java/org/apache/commons/math/ContractableDoubleArray.java
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@ -170,7 +170,7 @@ public class ContractableDoubleArray
/**
* Adds an element to the end of this expandable array
*
* @return value to be added to end of array
* @param value to be added to end of array
*/
public synchronized void addElement(double value) {
super.addElement(value);
@ -266,7 +266,7 @@ public class ContractableDoubleArray
/**
* Sets the contraction criteria for this ExpandContractDoubleArray.
*
* @param new contraction criteria
* @param contractionCriteria contraction criteria
*/
public void setContractionCriteria(float contractionCriteria) {
checkContractExpand(contractionCriteria, getExpansionFactor());
@ -280,7 +280,7 @@ public class ContractableDoubleArray
* expansionCriteria
*
* @param expansionFactor
* @param contractionCriteria
* @param contractionCritera
*/
protected void checkContractExpand(float contractionCritera,
float expansionFactor) {

6
src/java/org/apache/commons/math/EmpiricalDistribution.java
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@ -81,7 +81,7 @@ import org.apache.commons.math.stat.Univariate;
* generate random values "like" those in the input file -- i.e., the values
* generated will follow the distribution of the values in the file.
* @author Phil Steitz
* @version $Revision: 1.3 $
* @version $Revision: 1.4 $
*/
public interface EmpiricalDistribution {
@ -94,7 +94,7 @@ public interface EmpiricalDistribution {
/**
* Computes the empirical distribution from the input file
* @param URL url of the input file
* @param file url of the input file
* @throws IOException if an IO error occurs
*/
void load(File file) throws IOException;
@ -135,7 +135,7 @@ public interface EmpiricalDistribution {
* Saves distribution to a file. Overwrites the file if it exists.
* <strong>Preconditions:</strong><ul>
* <li>the distribution must be loaded before invoking this method</li></ul>
* @param fully qualified file path for the file to be written
* @param filePath fully qualified file path for the file to be written
* @throws IOException if an error occurs reading the file
* @throws IllegalStateException if the distribution has not been loaded
*/

4
src/java/org/apache/commons/math/ExpandableDoubleArray.java
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@ -223,7 +223,7 @@ public class ExpandableDoubleArray implements Serializable, DoubleArray {
* array class. Note that this function will also expand the internal
* array as needed.
*
* @param a new number of elements
* @param i a new number of elements
*/
public synchronized void setNumElements(int i) {
@ -321,7 +321,7 @@ public class ExpandableDoubleArray implements Serializable, DoubleArray {
/**
* Adds an element to the end of this expandable array
*
* @return value to be added to end of array
* @param value value to be added to end of array
*/
public synchronized void addElement(double value) {
numElements++;

2
src/java/org/apache/commons/math/FixedDoubleArray.java
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@ -312,7 +312,7 @@ public class FixedDoubleArray implements DoubleArray {
* make little sense to allow people to "drop" objects from the
* "front".
*
* @param number of elements to discard.
* @param i number of elements to discard.
*
* @see org.apache.commons.math.DoubleArray#discardFrontElements(int)
*/

4
src/java/org/apache/commons/math/RandomDataImpl.java
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@ -105,7 +105,7 @@ import java.util.Collection;
* identical).</li></ul>
*
* @author Phil Steitz
* @version $Revision: 1.4 $ $Date: 2003/06/05 18:35:24 $
* @version $Revision: 1.5 $ $Date: 2003/06/11 14:50:29 $
*/
public class RandomDataImpl implements RandomData {
@ -501,7 +501,7 @@ public class RandomDataImpl implements RandomData {
* shuffle to randomly re-order the last <code>end</code> elements of list.
*
* @param list list to be shuffled
* @end element past which shuffling begins
* @param end element past which shuffling begins
*/
private void shuffle(int[] list, int end) {
int target = 0;

10
src/java/org/apache/commons/math/RealMatrix.java
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@ -57,7 +57,7 @@ package org.apache.commons.math;
/**
* Interface defining a real-valued matrix with basic algebraic operations
* @author Phil Steitz
* @version $Revision: 1.2 $ $Date: 2003/05/13 19:08:14 $
* @version $Revision: 1.3 $ $Date: 2003/06/11 14:50:29 $
*/
public interface RealMatrix {
@ -116,7 +116,7 @@ public interface RealMatrix {
/**
* Sets/overwrites the underlying data for the matrix
* @param 2-dimensional array of entries
* @param data 2-dimensional array of entries
*/
public void setData(double[][] data);
@ -145,7 +145,7 @@ public interface RealMatrix {
/**
* Returns the entry in the specified row and column
* @param row row location of entry to be fetched
* @param col column location of entry to be fetched
* @param column column location of entry to be fetched
* @return matrix entry in row,column
* @throws IllegalArgumentException if entry does not exist
*/
@ -154,7 +154,7 @@ public interface RealMatrix {
/**
* Sets the entry in the specified row and column to the specified value
* @param row row location of entry to be set
* @param col column location of entry to be set
* @param column column location of entry to be set
* @param value value to set
* @throws IllegalArgumentException if entry does not exist
*/
@ -175,7 +175,7 @@ public interface RealMatrix {
/**
* Returns the determinant of this matrix
* @returns determinant
* @return determinant
*/
public double getDeterminant();

9
src/java/org/apache/commons/math/RealMatrixImpl.java
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@ -58,7 +58,7 @@ import java.io.Serializable;
/**
* Implementation for RealMatrix using double[][] array
* @author Phil Stetiz
* @version $Revision: 1.2 $ $Date: 2003/05/13 19:08:14 $
* @version $Revision: 1.3 $ $Date: 2003/06/11 14:50:29 $
*/
public class RealMatrixImpl implements RealMatrix, Serializable {
@ -72,7 +72,6 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
* Create a new RealMatrix with the supplied row and column dimensions
* @param rowDimension the number of rows in the new matrix
* @param columnDimension the number of columns in the new matrix
* @return newly created matrix
*/
public RealMatrixImpl(int rowDimension,
int columnDimension) {
@ -218,7 +217,7 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
/**
* Sets/overwrites the underlying data for the matrix
* @param 2-dimensional array of entries
* @param data 2-dimensional array of entries
*/
public void setData(double[][] data) {
this.data = data;
@ -263,7 +262,7 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
/**
* Returns the entry in the specified row and column
* @param row row location of entry to be fetched
* @param col column location of entry to be fetched
* @param column column location of entry to be fetched
* @return matrix entry in row,column
* @throws IllegalArgumentException if entry does not exist
*/
@ -279,7 +278,7 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
/**
* Sets the entry in the specified row and column to the specified value
* @param row row location of entry to be set
* @param col column location of entry to be set
* @param column column location of entry to be set
* @param value value to set
* @throws IllegalArgumentException if entry does not exist
*/

3
src/java/org/apache/commons/math/distribution/FDistributionImpl.java
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@ -73,7 +73,8 @@ public class FDistributionImpl
/**
* Create a F distribution using the given degrees of freedom.
* @param degreesOfFreedom the degrees of freedom.
* @param numeratorDegreesOfFreedom the degrees of freedom.
* @param denominatorDegreesOfFreedom
*/
public FDistributionImpl(double numeratorDegreesOfFreedom,
double denominatorDegreesOfFreedom){

30
src/java/org/apache/commons/math/stat/AbstractStoreUnivariate.java
View File

@ -64,7 +64,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the most frequently occuring value
* @see org.apache.commons.math.StoreUnivariate#getMode()
* @see org.apache.commons.math.stat.StoreUnivariate#getMode()
*/
public double getMode() {
// Mode depends on a refactor Freq class
@ -74,7 +74,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the skewness of this collection of values
* @see org.apache.commons.math.StoreUnivariate#getSkewness()
* @see org.apache.commons.math.stat.StoreUnivariate#getSkewness()
*/
public double getSkewness() {
// Initialize the skewness
@ -102,7 +102,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the kurtosis for this collection of values
* @see org.apache.commons.math.StoreUnivariate#getKurtosis()
* @see org.apache.commons.math.stat.StoreUnivariate#getKurtosis()
*/
public double getKurtosis() {
// Initialize the kurtosis
@ -134,7 +134,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the type or class of kurtosis that this collection of
* values exhibits
* @see org.apache.commons.math.StoreUnivariate#getKurtosisClass()
* @see org.apache.commons.math.stat.StoreUnivariate#getKurtosisClass()
*/
public int getKurtosisClass() {
@ -153,7 +153,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the mean for this collection of values
* @see org.apache.commons.math.Univariate#getMean()
* @see org.apache.commons.math.stat.Univariate#getMean()
*/
public double getMean() {
double arithMean = getSum() / getN();
@ -162,7 +162,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the geometric mean for this collection of values
* @see org.apache.commons.math.Univariate#getGeometricMean()
* @see org.apache.commons.math.stat.Univariate#getGeometricMean()
*/
public double getGeometricMean() {
double gMean = Math.pow(getProduct(),(1.0/getN()));
@ -171,7 +171,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the product for this collection of values
* @see org.apache.commons.math.Univariate#getProduct()
* @see org.apache.commons.math.stat.Univariate#getProduct()
*/
public double getProduct() {
double product = Double.NaN;
@ -187,7 +187,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the variance for this collection of values
* @see org.apache.commons.math.Univariate#getVariance()
* @see org.apache.commons.math.stat.Univariate#getVariance()
*/
public double getVariance() {
// Initialize variance
@ -216,7 +216,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the standard deviation for this collection of values
* @see org.apache.commons.math.Univariate#getStandardDeviation()
* @see org.apache.commons.math.stat.Univariate#getStandardDeviation()
*/
public double getStandardDeviation() {
double stdDev = Double.NaN;
@ -228,7 +228,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the maximum value contained herein.
* @see org.apache.commons.math.Univariate#getMax()
* @see org.apache.commons.math.stat.Univariate#getMax()
*/
public double getMax() {
@ -250,7 +250,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the minimum value contained herein
* @see org.apache.commons.math.Univariate#getMin()
* @see org.apache.commons.math.stat.Univariate#getMin()
*/
public double getMin() {
// Initialize minimum to NaN
@ -271,7 +271,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the sum of all values contained herein
* @see org.apache.commons.math.Univariate#getSum()
* @see org.apache.commons.math.stat.Univariate#getSum()
*/
public double getSum() {
double accum = 0.0;
@ -283,7 +283,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns the sun of the squares of all values contained herein
* @see org.apache.commons.math.Univariate#getSumsq()
* @see org.apache.commons.math.stat.Univariate#getSumsq()
*/
public double getSumsq() {
double accum = 0.0;
@ -296,7 +296,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Uses <a href="http://www.nist.gov/dads/HTML/shellsort.html">Shell sort
* </a>
* @see org.apache.commons.math.StoreUnivariate#getSortedValues()
* @see org.apache.commons.math.stat.StoreUnivariate#getSortedValues()
*
*/
public double[] getSortedValues() {
@ -324,7 +324,7 @@ public abstract class AbstractStoreUnivariate implements StoreUnivariate {
/**
* Returns an estimate for the pth percentile of the stored values
* @see org.apache.commons.math.StoreUnivariate#getPercentile()
* @see org.apache.commons.math.stat.StoreUnivariate#getPercentile(double)
*/
public double getPercentile(double p) {
if ((p > 100) || (p <= 0)) {