Fixed javadoc, checkstyle, and link warnings. Made some corrections and additions to the user guide.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141331 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Brent Worden
parent
8d1b142b00
commit
c28fd51e88
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@ -14,7 +14,7 @@
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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<!-- $Revision: 1.46 $ $Date: 2004/06/20 16:54:01 $ -->
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<!-- $Revision: 1.47 $ $Date: 2004/06/23 16:26:17 $ -->
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<project>
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<pomVersion>3</pomVersion>
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@ -168,7 +168,6 @@
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<report>maven-junit-report-plugin</report>
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<report>maven-jxr-plugin</report>
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<report>maven-license-plugin</report>
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<report>maven-statcvs-plugin</report>
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<report>maven-tasklist-plugin</report>
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<report>maven-linkcheck-plugin</report>
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</reports>
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@ -21,7 +21,7 @@ import java.io.Serializable;
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* Error thrown when a numerical computation can not be performed because the
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* numerical result failed to converge to a finite value.
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*
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* @version $Revision: 1.13 $ $Date: 2004/06/02 00:05:28 $
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* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class ConvergenceException extends MathException implements Serializable{
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@ -19,7 +19,7 @@ import java.io.Serializable;
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/**
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* Signals a configuration problem with any of the factory methods.
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* @version $Revision: 1.17 $ $Date: 2004/06/02 00:05:28 $
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* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class MathConfigurationException extends MathException implements Serializable {
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@ -21,7 +21,7 @@ import org.apache.commons.lang.exception.NestableException;
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/**
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* A generic exception indicating problems in the math package.
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* @version $Revision: 1.16 $ $Date: 2004/06/02 00:05:28 $
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* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class MathException extends NestableException implements Serializable {
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@ -23,7 +23,7 @@ import org.apache.commons.math.MathException;
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* Implements the <a href="http://mathworld.wolfram.com/Bisection.html">bisection algorithm</a>
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* for finding zeros of univariate real functions. This algorithm will find only one zero in the given interval.
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* The function should be continuous but not necessarily smooth.
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* @version $Revision: 1.16 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class BisectionSolver extends UnivariateRealSolverImpl implements Serializable {
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@ -25,7 +25,7 @@ import org.apache.commons.math.MathException;
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* functions. This algorithm will find only one zero in the given interval.
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* The function should be continuous but not necessarily smooth.
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*
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* @version $Revision: 1.15 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class BrentSolver extends UnivariateRealSolverImpl implements Serializable {
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@ -18,7 +18,7 @@ package org.apache.commons.math.analysis;
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/**
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* Extension of {@link UnivariateRealFunction} representing a differentiable univariate real function.
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*
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* @version $Revision: 1.1 $ $Date: 2004/04/02 20:59:52 $
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* @version $Revision: 1.2 $ $Date: 2004/06/23 16:26:14 $
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*/
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public interface DifferentiableUnivariateRealFunction
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extends UnivariateRealFunction {
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@ -26,7 +26,7 @@ import org.apache.commons.math.MathException;
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* algorithm will find only one zero in the given interval. The function should
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* be continuous but not necessarily smooth.
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*
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* @version $Revision: 1.4 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.5 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class NewtonSolver extends UnivariateRealSolverImpl implements Serializable {
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@ -23,7 +23,7 @@ import java.io.Serializable;
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* <a href="http://mathworld.wolfram.com/HornersMethod.html">Horner's Method</a>
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* is used to evaluate the function.
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*
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* @version $Revision: 1.10 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.11 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class PolynomialFunction implements DifferentiableUnivariateRealFunction, Serializable {
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@ -41,7 +41,7 @@ import org.apache.commons.math.MathException;
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* <li> Let <code>j</code> be the index of the largest knot point that is less than or equal to <code>x</code>.
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* The value returned is <br> <code>polynomials[j](x - knot[j])</code></li></ol>
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*
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* @version $Revision: 1.5 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.6 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class PolynomialSplineFunction implements UnivariateRealFunction, Serializable {
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@ -31,7 +31,7 @@ import org.apache.commons.math.MathException;
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* <p>
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* The function is supposed to be continuous but not necessarily smooth.
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*
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* @version $Revision: 1.15 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class SecantSolver extends UnivariateRealSolverImpl implements Serializable {
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@ -37,7 +37,7 @@ package org.apache.commons.math.analysis;
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* The cubic spline interpolation algorithm implemented is as described in R.L. Burden, J.D. Faires,
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* <u>Numerical Analysis</u>, 4th Ed., 1989, PWS-Kent, ISBN 0-53491-585-X, pp 126-131.
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*
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* @version $Revision: 1.18 $ $Date: 2004/06/02 00:10:45 $
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* @version $Revision: 1.19 $ $Date: 2004/06/23 16:26:14 $
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*
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*/
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public class SplineInterpolator implements UnivariateRealInterpolator {
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@ -20,7 +20,7 @@ import org.apache.commons.math.MathException;
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/**
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* An interface representing a univariate real function.
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*
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* @version $Revision: 1.12 $ $Date: 2004/02/21 21:35:14 $
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* @version $Revision: 1.13 $ $Date: 2004/06/23 16:26:14 $
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*/
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public interface UnivariateRealFunction {
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/**
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@ -20,7 +20,7 @@ import org.apache.commons.math.MathException;
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/**
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* Interface representing a univariate real interpolating function.
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*
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* @version $Revision: 1.10 $ $Date: 2004/02/21 21:35:14 $
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* @version $Revision: 1.11 $ $Date: 2004/06/23 16:26:14 $
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*/
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public interface UnivariateRealInterpolator {
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@ -22,7 +22,7 @@ import org.apache.commons.math.MathException;
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* <p>
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* Implementations will search for only one zero in the given interval.
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*
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* @version $Revision: 1.12 $ $Date: 2004/05/21 14:21:42 $
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* @version $Revision: 1.13 $ $Date: 2004/06/23 16:26:14 $
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*/
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public interface UnivariateRealSolver {
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@ -41,7 +41,7 @@ import org.apache.commons.discovery.tools.DiscoverClass;
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* <code>UnivariateRealSolverFactory.newInstance().</code> The default is
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* {@link UnivariateRealSolverFactoryImpl}.
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*
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* @version $Revision: 1.14 $ $Date: 2004/04/08 21:19:17 $
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* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:14 $
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*/
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public abstract class UnivariateRealSolverFactory {
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/**
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@ -21,7 +21,7 @@ package org.apache.commons.math.analysis;
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* <p>
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* The default solver returned by this factory is a {@link BrentSolver}.
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*
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* @version $Revision: 1.12 $ $Date: 2004/06/02 00:10:45 $
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* @version $Revision: 1.13 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class UnivariateRealSolverFactoryImpl extends UnivariateRealSolverFactory {
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@ -24,10 +24,11 @@ import org.apache.commons.math.MathException;
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* Provide a default implementation for several functions useful to generic
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* solvers.
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*
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* @version $Revision: 1.13 $ $Date: 2004/06/02 00:11:08 $
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* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:14 $
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*/
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public abstract class UnivariateRealSolverImpl implements UnivariateRealSolver, Serializable {
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/** Serializable version identifier */
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static final long serialVersionUID = 1112491292565386596L;
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/** Maximum absolute error. */
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@ -19,7 +19,7 @@ import org.apache.commons.math.MathException;
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/**
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* Utility routines for {@link UnivariateRealSolver} objects.
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* @version $Revision: 1.8 $ $Date: 2004/04/08 21:19:17 $
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* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:14 $
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*/
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public class UnivariateRealSolverUtils {
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/**
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@ -23,7 +23,7 @@ import java.io.Serializable;
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* real and imaginary part.
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*
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* @author Apache Software Foundation
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* @version $Revision: 1.8 $ $Date: 2004/06/02 00:07:01 $
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* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class Complex implements Serializable {
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@ -29,7 +29,7 @@ import java.text.ParsePosition;
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* can be configured.
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*
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* @author Apache Software Foundation
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* @version $Revision: 1.8 $ $Date: 2004/06/02 00:07:01 $
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* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class ComplexFormat extends Format implements Serializable {
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@ -28,7 +28,7 @@ import org.apache.commons.math.util.MathUtils;
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* Multiple Precision Complex Arithmetic and Functions</a></li>
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* </ul>
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*
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* @version $Revision: 1.8 $ $Date: 2004/04/23 18:51:03 $
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* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:16 $
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*/
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public class ComplexMath {
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* implementations for some of the methods that do not vary from distribution
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* to distribution.
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*
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* @version $Revision: 1.23 $ $Date: 2004/06/02 00:15:16 $
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* @version $Revision: 1.24 $ $Date: 2004/06/23 16:26:15 $
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*/
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public abstract class AbstractContinuousDistribution
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implements ContinuousDistribution, Serializable {
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/** Serializable version identifier */
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static final long serialVersionUID = -38038050983108802L;
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/**
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@ -25,11 +25,12 @@ import org.apache.commons.math.MathException;
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* implementations for some of the methods that do not vary from distribution
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* to distribution.
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*
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* @version $Revision: 1.16 $ $Date: 2004/06/02 00:15:16 $
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* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:15 $
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*/
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public abstract class AbstractDiscreteDistribution
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implements DiscreteDistribution, Serializable {
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/** Serializable version identifier */
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static final long serialVersionUID = -1146319659338487221L;
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/**
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* </ul>
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* </p>
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*
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* @version $Revision: 1.10 $ $Date: 2004/04/26 19:15:48 $
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* @version $Revision: 1.11 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface BinomialDistribution extends DiscreteDistribution {
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/**
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/**
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* The default implementation of {@link BinomialDistribution}.
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*
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* @version $Revision: 1.15 $ $Date: 2004/06/02 00:15:16 $
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* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:15 $
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*/
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public class BinomialDistributionImpl
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extends AbstractDiscreteDistribution
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* </ul>
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* </p>
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*
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* @version $Revision: 1.13 $ $Date: 2004/04/26 19:15:48 $
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* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface ChiSquaredDistribution extends ContinuousDistribution {
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/**
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/**
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* The default implementation of {@link ChiSquaredDistribution}
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*
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* @version $Revision: 1.17 $ $Date: 2004/06/02 00:15:16 $
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* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:15 $
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*/
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public class ChiSquaredDistributionImpl
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extends AbstractContinuousDistribution
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/**
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* Base interface for various continuous distributions.
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*
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* @version $Revision: 1.14 $ $Date: 2004/05/19 14:16:31 $
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* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface ContinuousDistribution {
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/**
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/**
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* Base interface for various discrete distributions.
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*
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* @version $Revision: 1.14 $ $Date: 2004/05/19 14:16:31 $
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* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface DiscreteDistribution {
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/**
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@ -39,7 +39,7 @@ import org.apache.commons.discovery.tools.DiscoverClass;
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* ChiSquaredDistribution chi = factory.createChiSquareDistribution(5.0);
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* </pre>
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*
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* @version $Revision: 1.19 $ $Date: 2004/02/21 21:35:14 $
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* @version $Revision: 1.20 $ $Date: 2004/06/23 16:26:15 $
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*/
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public abstract class DistributionFactory {
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/**
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@ -19,7 +19,7 @@ package org.apache.commons.math.distribution;
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* A concrete distribution factory. This is the default factory used by
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* Commons-Math.
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*
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* @version $Revision: 1.19 $ $Date: 2004/06/02 00:14:15 $
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* @version $Revision: 1.20 $ $Date: 2004/06/23 16:26:15 $
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*/
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public class DistributionFactoryImpl extends DistributionFactory {
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@ -29,7 +29,7 @@ package org.apache.commons.math.distribution;
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* </ul>
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||||
* </p>
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*
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* @version $Revision: 1.11 $ $Date: 2004/04/26 19:15:48 $
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* @version $Revision: 1.12 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface ExponentialDistribution extends ContinuousDistribution {
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/**
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@ -22,7 +22,7 @@ import org.apache.commons.math.MathException;
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|||
/**
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||||
* The default implementation of {@link ExponentialDistribution}
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||||
*
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||||
* @version $Revision: 1.17 $ $Date: 2004/06/06 16:38:05 $
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||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:15 $
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||||
*/
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||||
public class ExponentialDistributionImpl extends AbstractContinuousDistribution
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||||
implements ExponentialDistribution, Serializable {
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||||
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@ -29,7 +29,7 @@ package org.apache.commons.math.distribution;
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* </ul>
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||||
* </p>
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||||
*
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||||
* @version $Revision: 1.12 $ $Date: 2004/04/26 19:15:48 $
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* @version $Revision: 1.13 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface FDistribution extends ContinuousDistribution {
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/**
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@ -24,7 +24,7 @@ import org.apache.commons.math.special.Beta;
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* Default implementation of
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* {@link org.apache.commons.math.distribution.FDistribution}.
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*
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* @version $Revision: 1.17 $ $Date: 2004/06/02 00:15:16 $
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* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:15 $
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*/
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public class FDistributionImpl
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extends AbstractContinuousDistribution
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@ -29,7 +29,7 @@ package org.apache.commons.math.distribution;
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* </ul>
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||||
* </p>
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*
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||||
* @version $Revision: 1.14 $ $Date: 2004/04/26 19:15:48 $
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||||
* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
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*/
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public interface GammaDistribution extends ContinuousDistribution {
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/**
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@ -23,7 +23,7 @@ import org.apache.commons.math.special.Gamma;
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/**
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||||
* The default implementation of {@link GammaDistribution}
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||||
*
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||||
* @version $Revision: 1.20 $ $Date: 2004/06/02 00:15:16 $
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||||
* @version $Revision: 1.21 $ $Date: 2004/06/23 16:26:15 $
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||||
*/
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||||
public class GammaDistributionImpl extends AbstractContinuousDistribution
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implements GammaDistribution, Serializable {
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|
|
@ -30,7 +30,7 @@ package org.apache.commons.math.distribution;
|
|||
* </ul>
|
||||
* </p>
|
||||
*
|
||||
* @version $Revision: 1.9 $ $Date: 2004/04/26 19:15:48 $
|
||||
* @version $Revision: 1.10 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public interface HypergeometricDistribution extends DiscreteDistribution {
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -24,7 +24,7 @@ import org.apache.commons.math.util.MathUtils;
|
|||
/**
|
||||
* The default implementation of {@link HypergeometricDistribution}.
|
||||
*
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/02 00:15:16 $
|
||||
* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class HypergeometricDistributionImpl extends AbstractDiscreteDistribution
|
||||
implements HypergeometricDistribution, Serializable
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ package org.apache.commons.math.distribution;
|
|||
* </ul>
|
||||
* </p>
|
||||
*
|
||||
* @version $Revision: 1.7 $ $Date: 2004/05/05 19:59:11 $
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public interface NormalDistribution extends ContinuousDistribution {
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -25,7 +25,7 @@ import org.apache.commons.math.special.Erf;
|
|||
* Default implementation of
|
||||
* {@link org.apache.commons.math.distribution.NormalDistribution}.
|
||||
*
|
||||
* @version $Revision: 1.11 $ $Date: 2004/06/02 00:15:16 $
|
||||
* @version $Revision: 1.12 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class NormalDistributionImpl extends AbstractContinuousDistribution
|
||||
implements NormalDistribution, Serializable {
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ package org.apache.commons.math.distribution;
|
|||
* </ul>
|
||||
* </p>
|
||||
*
|
||||
* @version $Revision: 1.11 $ $Date: 2004/04/26 19:15:48 $
|
||||
* @version $Revision: 1.12 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public interface TDistribution extends ContinuousDistribution {
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -24,7 +24,7 @@ import org.apache.commons.math.special.Beta;
|
|||
* Default implementation of
|
||||
* {@link org.apache.commons.math.distribution.TDistribution}.
|
||||
*
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/02 00:15:16 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class TDistributionImpl
|
||||
extends AbstractContinuousDistribution
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import java.math.BigDecimal;
|
|||
* Interface defining a real-valued matrix with basic algebraic operations, using
|
||||
* BigDecimal representations for the entries.
|
||||
*
|
||||
* @version $Revision: 1.2 $ $Date: 2004/06/06 16:08:52 $
|
||||
* @version $Revision: 1.3 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public interface BigMatrix {
|
||||
|
||||
|
|
@ -125,7 +125,7 @@ public interface BigMatrix {
|
|||
|
||||
/***
|
||||
* Gets the rounding mode
|
||||
* @return
|
||||
* @return the rounding mode
|
||||
*/
|
||||
int getRoundingMode();
|
||||
|
||||
|
|
|
|||
|
|
@ -39,14 +39,17 @@ import java.math.BigDecimal;
|
|||
* explicitly invoke <code>LUDecompose()</code> to recompute the decomposition
|
||||
* before using any of the methods above.
|
||||
*
|
||||
* @version $Revision: 1.1 $ $Date: 2004/06/06 04:20:45 $
|
||||
* @version $Revision: 1.2 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class BigMatrixImpl implements BigMatrix, Serializable {
|
||||
|
||||
/** Serialization id */
|
||||
static final long serialVersionUID = -1011428905656140431L;
|
||||
|
||||
/** The number zero. */
|
||||
private static final BigDecimal ZERO = new BigDecimal(0);
|
||||
|
||||
/** The number one. */
|
||||
private static final BigDecimal ONE = new BigDecimal(1);
|
||||
|
||||
/** Entries of the matrix */
|
||||
|
|
@ -275,6 +278,14 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
|
|||
return copyOut();
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns matrix entries as a two-dimensional array.
|
||||
* <p>
|
||||
* Makes a fresh copy of the underlying data converted to
|
||||
* <code>double</code> values.
|
||||
*
|
||||
* @return 2-dimensional array of entries
|
||||
*/
|
||||
public double[][] getDataAsDoubleArray() {
|
||||
int nRows = getRowDimension();
|
||||
int nCols = getColumnDimension();
|
||||
|
|
@ -298,6 +309,12 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
|
|||
lu = null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Overwrites the underlying data for the matrix
|
||||
* with a fresh copy of <code>inData</code>.
|
||||
*
|
||||
* @param inData 2-dimensional array of entries
|
||||
*/
|
||||
public void setData(double[][] inData) {
|
||||
copyIn(inData);
|
||||
lu = null;
|
||||
|
|
@ -329,9 +346,9 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
|
|||
|
||||
/***
|
||||
* Gets the rounding mode for division operations
|
||||
* The default is {@link BigDecimal.ROUND_HALF_UP}
|
||||
* The default is {@link BigDecimal#ROUND_HALF_UP}
|
||||
* @see BigDecimal
|
||||
* @return
|
||||
* @return the rounding mode.
|
||||
*/
|
||||
public int getRoundingMode() {
|
||||
return roundingMode;
|
||||
|
|
@ -350,7 +367,7 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
|
|||
* Sets the scale for division operations.
|
||||
* The default is 64
|
||||
* @see BigDecimal
|
||||
* @return
|
||||
* @return the scale
|
||||
*/
|
||||
public int getScale() {
|
||||
return scale;
|
||||
|
|
@ -621,6 +638,8 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
|
|||
* trace</a> of the matrix (the sum of the elements on the main diagonal).
|
||||
*
|
||||
* @return trace
|
||||
*
|
||||
* @throws IllegalArgumentException if this matrix is not square.
|
||||
*/
|
||||
public BigDecimal getTrace() throws IllegalArgumentException {
|
||||
if (!isSquare()) {
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ import java.io.Serializable;
|
|||
* explicitly invoke <code>LUDecompose()</code> to recompute the decomposition
|
||||
* before using any of the methods above.
|
||||
*
|
||||
* @version $Revision: 1.24 $ $Date: 2004/06/07 03:26:31 $
|
||||
* @version $Revision: 1.25 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class RealMatrixImpl implements RealMatrix, Serializable {
|
||||
|
||||
|
|
@ -415,7 +415,7 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
|
|||
if (isSingular()) { // note: this has side effect of attempting LU decomp if lu == null
|
||||
return 0d;
|
||||
} else {
|
||||
double det = (double) parity;
|
||||
double det = parity;
|
||||
for (int i = 0; i < this.getRowDimension(); i++) {
|
||||
det *= lu[i][i];
|
||||
}
|
||||
|
|
|
|||
|
|
@ -52,7 +52,7 @@ import org.apache.commons.math.stat.univariate.SummaryStatistics;
|
|||
* entry per line.</li>
|
||||
* </ul></p>
|
||||
*
|
||||
* @version $Revision: 1.26 $ $Date: 2004/06/16 03:16:26 $
|
||||
* @version $Revision: 1.27 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class EmpiricalDistributionImpl implements Serializable, EmpiricalDistribution {
|
||||
|
||||
|
|
@ -132,7 +132,13 @@ public class EmpiricalDistributionImpl implements Serializable, EmpiricalDistrib
|
|||
fillBinStats(in);
|
||||
loaded = true;
|
||||
} finally {
|
||||
if (in != null) try {in.close();} catch (Exception ex) {};
|
||||
if (in != null) {
|
||||
try {
|
||||
in.close();
|
||||
} catch (Exception ex) {
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -155,11 +161,13 @@ public class EmpiricalDistributionImpl implements Serializable, EmpiricalDistrib
|
|||
fillBinStats(in);
|
||||
loaded = true;
|
||||
} finally {
|
||||
if (in != null)
|
||||
if (in != null) {
|
||||
try {
|
||||
in.close();
|
||||
} catch (Exception ex) {
|
||||
};
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -40,7 +40,7 @@ import java.net.MalformedURLException;
|
|||
* standard deviation = <code>sigma</code></li>
|
||||
* <li> CONSTANT_MODE -- returns <code>mu</code> every time.</li></ul>
|
||||
*
|
||||
* @version $Revision: 1.13 $ $Date: 2004/06/14 23:15:15 $
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:17 $
|
||||
*
|
||||
*/
|
||||
public class ValueServer implements Serializable {
|
||||
|
|
@ -242,7 +242,9 @@ public class ValueServer implements Serializable {
|
|||
try {
|
||||
filePointer.close();
|
||||
filePointer = null;
|
||||
} catch (IOException ex) {}
|
||||
} catch (IOException ex) {
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
filePointer = new BufferedReader(new InputStreamReader(valuesFileURL.openStream()));
|
||||
}
|
||||
|
|
|
|||
|
|
@ -24,7 +24,7 @@ import org.apache.commons.math.util.ContinuedFraction;
|
|||
* This is a utility class that provides computation methods related to the
|
||||
* Beta family of functions.
|
||||
*
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/10 18:27:47 $
|
||||
* @version $Revision: 1.21 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Beta implements Serializable {
|
||||
/** Maximum allowed numerical error. */
|
||||
|
|
|
|||
|
|
@ -23,7 +23,7 @@ import org.apache.commons.math.MathException;
|
|||
* This is a utility class that provides computation methods related to the
|
||||
* error functions.
|
||||
*
|
||||
* @version $Revision: 1.1 $ $Date: 2004/05/05 19:54:58 $
|
||||
* @version $Revision: 1.2 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Erf implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -25,7 +25,7 @@ import org.apache.commons.math.util.ContinuedFraction;
|
|||
* This is a utility class that provides computation methods related to the
|
||||
* Gamma family of functions.
|
||||
*
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/10 18:34:53 $
|
||||
* @version $Revision: 1.21 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Gamma implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -35,7 +35,7 @@ import java.util.TreeMap;
|
|||
* The values are ordered using the default (natural order), unless a
|
||||
* <code>Comparator</code>is supplied in the constructor.
|
||||
*
|
||||
* @version $Revision: 1.23 $ $Date: 2004/06/20 16:53:17 $
|
||||
* @version $Revision: 1.24 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Frequency implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -30,7 +30,7 @@ import org.apache.commons.math.stat.univariate.summary.SumOfSquares;
|
|||
* StatUtils provides static implementations of common double[] based
|
||||
* statistical methods. These return a single result value or in some cases, as
|
||||
* identified in the javadoc for each method, <code>Double.NaN.</code>
|
||||
* @version $Revision: 1.28 $ $Date: 2004/06/14 23:26:53 $
|
||||
* @version $Revision: 1.29 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public final class StatUtils {
|
||||
|
||||
|
|
|
|||
|
|
@ -20,7 +20,7 @@ import org.apache.commons.math.MathException;
|
|||
/**
|
||||
* An interface for Chi-Square tests.
|
||||
*
|
||||
* @version $Revision: 1.2 $ $Date: 2004/05/19 15:06:44 $
|
||||
* @version $Revision: 1.3 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public interface ChiSquareTest {
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import org.apache.commons.math.distribution.ChiSquaredDistribution;
|
|||
/**
|
||||
* Implements Chi-Square test statistics defined in the {@link ChiSquareTest} interface.
|
||||
*
|
||||
* @version $Revision: 1.7 $ $Date: 2004/06/20 02:54:05 $
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public class ChiSquareTestImpl implements ChiSquareTest {
|
||||
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ import org.apache.commons.math.stat.univariate.StatisticalSummary;
|
|||
/**
|
||||
* An interface for Student's t-tests.
|
||||
*
|
||||
* @version $Revision: 1.5 $ $Date: 2004/06/02 13:08:55 $
|
||||
* @version $Revision: 1.6 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public interface TTest {
|
||||
|
||||
|
|
|
|||
|
|
@ -24,13 +24,16 @@ import org.apache.commons.math.stat.univariate.StatisticalSummary;
|
|||
/**
|
||||
* Implements t-test statistics defined in the {@link TTest} interface.
|
||||
*
|
||||
* @version $Revision: 1.7 $ $Date: 2004/06/14 23:26:53 $
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public class TTestImpl implements TTest {
|
||||
|
||||
/** Cached DistributionFactory used to create TDistribution instances */
|
||||
private DistributionFactory distributionFactory = null;
|
||||
|
||||
/**
|
||||
* Default constructor.
|
||||
*/
|
||||
public TTestImpl() {
|
||||
super();
|
||||
}
|
||||
|
|
@ -232,8 +235,6 @@ public class TTestImpl implements TTest {
|
|||
* @param equalVariances are the sample variances assumed equal?
|
||||
* @return t statistic
|
||||
* @throws IllegalArgumentException if the precondition is not met
|
||||
* @throws MathException if the statistic can not be computed do to a
|
||||
* convergence or other numerical error.
|
||||
*/
|
||||
public double t(double[] sample1, double[] sample2, boolean equalVariances)
|
||||
throws IllegalArgumentException {
|
||||
|
|
@ -698,6 +699,7 @@ public class TTestImpl implements TTest {
|
|||
|
||||
/**
|
||||
* Gets a DistributionFactory to use in creating TDistribution instances.
|
||||
* @return a distribution factory.
|
||||
*/
|
||||
protected DistributionFactory getDistributionFactory() {
|
||||
if (distributionFactory == null) {
|
||||
|
|
@ -745,6 +747,7 @@ public class TTestImpl implements TTest {
|
|||
* @param v2 second sample variance
|
||||
* @param n1 first sample n
|
||||
* @param n2 second sample n
|
||||
* @param equalVariances are variances assumed equal?
|
||||
* @return t test statistic
|
||||
*/
|
||||
protected double t(double m1, double m2, double v1, double v2, double n1,
|
||||
|
|
|
|||
|
|
@ -49,7 +49,7 @@ import org.apache.commons.math.distribution.TDistribution;
|
|||
* the necessary computations to return the requested statistic.</li>
|
||||
* </ul>
|
||||
*
|
||||
* @version $Revision: 1.3 $ $Date: 2004/05/19 14:16:32 $
|
||||
* @version $Revision: 1.4 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class BivariateRegression implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -24,7 +24,7 @@ import java.io.Serializable;
|
|||
* <p>
|
||||
* Provides a default <code>evaluate()</code> implementation.
|
||||
*
|
||||
* @version $Revision: 1.16 $ $Date: 2004/06/17 22:31:58 $
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public abstract class AbstractStorelessUnivariateStatistic
|
||||
extends AbstractUnivariateStatistic
|
||||
|
|
@ -72,7 +72,7 @@ public abstract class AbstractStorelessUnivariateStatistic
|
|||
* Returns true iff <code>object</code> is an
|
||||
* <code>AbstractStorelessUnivariateStatistic</code> returning the same
|
||||
* values as this for <code>getResult()</code> and <code>getN()</code>
|
||||
*
|
||||
* @param object object to test equality against.
|
||||
* @return true if object returns the same value as this
|
||||
*/
|
||||
public boolean equals(Object object) {
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ import java.io.Serializable;
|
|||
* Abstract Implementation for UnivariateStatistics.
|
||||
* Provides the ability to extend polymophically so that
|
||||
* indiviual statistics do not need to implement these methods.
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/01 21:34:35 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public abstract class AbstractUnivariateStatistic
|
||||
implements UnivariateStatistic, Serializable {
|
||||
|
|
|
|||
|
|
@ -34,7 +34,7 @@ import org.apache.commons.math.stat.univariate.summary.SumOfSquares;
|
|||
/**
|
||||
* Abstract factory class for univariate statistical summaries.
|
||||
*
|
||||
* @version $Revision: 1.7 $ $Date: 2004/06/14 23:26:53 $
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public abstract class DescriptiveStatistics implements StatisticalSummary, Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -23,7 +23,7 @@ import org.apache.commons.math.util.ResizableDoubleArray;
|
|||
* Default implementation of
|
||||
* {@link org.apache.commons.math.stat.univariate.DescriptiveStatistics}.
|
||||
*
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/14 23:26:53 $
|
||||
* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class DescriptiveStatisticsImpl extends DescriptiveStatistics implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -18,7 +18,7 @@ package org.apache.commons.math.stat.univariate;
|
|||
/**
|
||||
* Reporting interface for basic univariate statistics.
|
||||
*
|
||||
* @version $Revision: 1.3 $ $Date: 2004/06/14 23:26:53 $
|
||||
* @version $Revision: 1.4 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public interface StatisticalSummary {
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -20,7 +20,7 @@ import java.io.Serializable;
|
|||
/**
|
||||
* Value object representing the results of a univariate statistical summary.
|
||||
*
|
||||
* @version $Revision: 1.2 $ $Date: 2004/06/20 01:50:18 $
|
||||
* @version $Revision: 1.3 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class StatisticalSummaryValues implements Serializable,
|
||||
StatisticalSummary {
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ package org.apache.commons.math.stat.univariate;
|
|||
* This interface is designed to be used for calculating statistics that can be computed in
|
||||
* one pass through the data without storing the full array of sample values.
|
||||
*
|
||||
* @version $Revision: 1.15 $ $Date: 2004/03/21 21:57:19 $
|
||||
* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public interface StorelessUnivariateStatistic extends UnivariateStatistic {
|
||||
|
||||
|
|
|
|||
|
|
@ -23,7 +23,7 @@ import org.apache.commons.math.util.MathUtils;
|
|||
/**
|
||||
* Abstract factory class for univariate statistical summaries.
|
||||
*
|
||||
* @version $Revision: 1.8 $ $Date: 2004/06/17 23:14:55 $
|
||||
* @version $Revision: 1.9 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public abstract class SummaryStatistics implements StatisticalSummary, Serializable {
|
||||
|
||||
|
|
@ -162,7 +162,7 @@ public abstract class SummaryStatistics implements StatisticalSummary, Serializa
|
|||
/**
|
||||
* Returns true iff <code>object</code> is a <code>SummaryStatistics</code>
|
||||
* instance and all statistics have the same values as this.
|
||||
*
|
||||
* @param object the object to test equality against.
|
||||
* @return true if object equals this
|
||||
*/
|
||||
public boolean equals(Object object) {
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ import org.apache.commons.math.stat.univariate.summary.SumOfSquares;
|
|||
/**
|
||||
* Provides a default {@link SummaryStatistics} implementation.
|
||||
*
|
||||
* @version $Revision: 1.5 $ $Date: 2004/06/17 23:27:52 $
|
||||
* @version $Revision: 1.6 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class SummaryStatisticsImpl extends SummaryStatistics implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -20,7 +20,7 @@ package org.apache.commons.math.stat.univariate;
|
|||
* double[] based content using an implemented statistical approach.
|
||||
* The interface provides two "stateless" simple methods to calculate
|
||||
* a statistic from a double[] based parameter.
|
||||
* @version $Revision: 1.13 $ $Date: 2004/03/04 04:25:09 $
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public interface UnivariateStatistic {
|
||||
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* <a href="http://www.spss.com/tech/stat/Algorithms/11.5/descriptives.pdf">
|
||||
* recursive strategy
|
||||
* </a>. Both incremental and evaluation strategies currently use this approach.
|
||||
* @version $Revision: 1.14 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class FirstMoment extends AbstractStorelessUnivariateStatistic implements Serializable{
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import java.io.Serializable;
|
|||
* <a href="http://www.spss.com/tech/stat/Algorithms/11.5/descriptives.pdf">
|
||||
* recursive strategy
|
||||
* </a>. Both incremental and evaluation strategies currently use this approach.
|
||||
* @version $Revision: 1.16 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class FourthMoment extends ThirdMoment implements Serializable{
|
||||
|
||||
|
|
|
|||
|
|
@ -35,7 +35,7 @@ import org.apache.commons.math.stat.univariate.summary.SumOfLogs;
|
|||
* </ul>
|
||||
*
|
||||
*
|
||||
* @version $Revision: 1.19 $ $Date: 2004/06/18 07:03:40 $
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class GeometricMean extends SumOfLogs implements Serializable{
|
||||
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* Note that this statistic is undefined for n < 4. <code>Double.Nan</code> is returned when
|
||||
* there is not sufficient data to compute the statistic.
|
||||
*
|
||||
* @version $Revision: 1.21 $ $Date: 2004/06/18 04:14:27 $
|
||||
* @version $Revision: 1.22 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public class Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ import org.apache.commons.math.stat.univariate.summary.Sum;
|
|||
/**
|
||||
* Returns the <a href="http://www.xycoon.com/arithmetic_mean.htm">
|
||||
* arithmetic mean </a> of the available values.
|
||||
* @version $Revision: 1.17 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class Mean extends AbstractStorelessUnivariateStatistic implements Serializable{
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import java.io.Serializable;
|
|||
* <a href="http://www.spss.com/tech/stat/Algorithms/11.5/descriptives.pdf">
|
||||
* recursive strategy
|
||||
* </a>. Both incremental and evaluation strategies currently use this approach.
|
||||
* @version $Revision: 1.15 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class SecondMoment extends FirstMoment implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* <p>
|
||||
* where n is the number of values, mean is the {@link Mean} and std is the {@link StandardDeviation}
|
||||
*
|
||||
* @version $Revision: 1.20 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.21 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public class Skewness extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@ import java.io.Serializable;
|
|||
|
||||
/**
|
||||
*
|
||||
* @version $Revision: 1.16 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class StandardDeviation extends Variance implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import java.io.Serializable;
|
|||
* <a href="http://www.spss.com/tech/stat/Algorithms/11.5/descriptives.pdf">
|
||||
* recursive strategy
|
||||
* </a>. Both incremental and evaluation strategies currently use this approach.
|
||||
* @version $Revision: 1.15 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:14 $
|
||||
*/
|
||||
public class ThirdMoment extends SecondMoment implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -25,7 +25,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* J. G. Lewis 1979, <i>Communications of the ACM</i>,
|
||||
* vol. 22 no. 9, pp. 526-531.</a>.
|
||||
*
|
||||
* @version $Revision: 1.19 $ $Date: 2004/04/27 16:42:30 $
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class Variance extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* the result is <code>Double.POSITIVE_INFINITY.</code></li>
|
||||
* </ul>
|
||||
*
|
||||
* @version $Revision: 1.17 $ $Date: 2004/06/18 13:24:06 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Max extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import java.io.Serializable;
|
|||
* Returns the <a href="http://www.xycoon.com/median_2.htm">median</a> of the
|
||||
* available values.
|
||||
*
|
||||
* @version $Revision: 1.13 $ $Date: 2004/04/27 16:42:33 $
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Median extends Percentile implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* the result is <code>Double.NEGATIVE_INFINITY.</code></li>
|
||||
* </ul>
|
||||
*
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/18 22:11:33 $
|
||||
* @version $Revision: 1.19 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Min extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -56,7 +56,7 @@ import org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic;
|
|||
* elements, arrays containing <code>NaN</code> or infinite values will often
|
||||
* result in <code>NaN<code> or infinite values returned.
|
||||
*
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/19 21:14:54 $
|
||||
* @version $Revision: 1.21 $ $Date: 2004/06/23 16:26:17 $
|
||||
*/
|
||||
public class Percentile extends AbstractUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ import org
|
|||
/**
|
||||
* Returns the product for this collection of values.
|
||||
*
|
||||
* @version $Revision: 1.17 $ $Date: 2004/04/27 16:42:32 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class Product extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
/**
|
||||
* The sum of the values that have been added to Univariate.
|
||||
*
|
||||
* @version $Revision: 1.19 $ $Date: 2004/04/27 16:42:32 $
|
||||
* @version $Revision: 1.20 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class Sum extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -32,7 +32,7 @@ import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatis
|
|||
* <code>NaN.</code></li>
|
||||
* </ul>
|
||||
*
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/18 06:32:07 $
|
||||
* @version $Revision: 1.19 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class SumOfLogs extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ import org
|
|||
/**
|
||||
* Returns the sum of the squares of the available values.
|
||||
*
|
||||
* @version $Revision: 1.17 $ $Date: 2004/04/27 16:42:32 $
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -32,7 +32,7 @@ import org.apache.commons.math.MathException;
|
|||
* </ul>
|
||||
* </p>
|
||||
*
|
||||
* @version $Revision: 1.13 $ $Date: 2004/06/02 00:04:11 $
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public abstract class ContinuedFraction implements Serializable {
|
||||
|
||||
|
|
@ -105,8 +105,8 @@ public abstract class ContinuedFraction implements Serializable {
|
|||
* The implementation of this method is based on:
|
||||
* <ul>
|
||||
* <li>O. E-gecio-glu, C . K. Koc, J. Rifa i Coma,
|
||||
* <a href="http://citeseer.nj.nec.com/egecioglu91fast.html">
|
||||
* Fast Computation of Continued Fractions</a>, Computers Math. Applic.,
|
||||
* <a href="http://citeseer.ist.psu.edu/egecioglu91fast.html">
|
||||
* On Fast Computation of Continued Fractions</a>, Computers Math. Applic.,
|
||||
* 21(2--3), 1991, 167--169.</li>
|
||||
* </ul>
|
||||
*
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ import org.apache.commons.math.MathException;
|
|||
* into a primitive double or to turn a String representation of a Number into
|
||||
* a double.
|
||||
*
|
||||
* @version $Revision: 1.15 $ $Date: 2004/06/18 04:59:06 $
|
||||
* @version $Revision: 1.16 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class DefaultTransformer implements NumberTransformer, Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ package org.apache.commons.math.util;
|
|||
* array implementations to support various storage mechanisms
|
||||
* such as automatic expansion, contraction, and array "rolling".
|
||||
*
|
||||
* @version $Revision: 1.12 $ $Date: 2004/06/14 21:41:33 $
|
||||
* @version $Revision: 1.13 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public interface DoubleArray {
|
||||
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@ package org.apache.commons.math.util;
|
|||
/**
|
||||
* Some useful additions to the built-in functions in {@link Math}.
|
||||
*
|
||||
* @version $Revision: 1.18 $ $Date: 2004/06/17 21:31:00 $
|
||||
* @version $Revision: 1.19 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public final class MathUtils {
|
||||
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@ import org.apache.commons.math.MathException;
|
|||
|
||||
/**
|
||||
* Subclasses implementing this interface can transform Objects to doubles.
|
||||
* @version $Revision: 1.10 $ $Date: 2004/02/21 21:35:16 $
|
||||
* @version $Revision: 1.11 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public interface NumberTransformer {
|
||||
|
||||
|
|
|
|||
|
|
@ -66,7 +66,7 @@ import java.io.Serializable;
|
|||
* is violated.
|
||||
* </p>
|
||||
* <p>
|
||||
* @version $Revision: 1.1 $ $Date: 2004/06/14 21:41:33 $
|
||||
* @version $Revision: 1.2 $ $Date: 2004/06/23 16:26:16 $
|
||||
*/
|
||||
public class ResizableDoubleArray implements DoubleArray, Serializable {
|
||||
|
||||
|
|
@ -469,10 +469,11 @@ public class ResizableDoubleArray implements DoubleArray, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* Returns a double[] array containing the elements of this
|
||||
* Returns a double array containing the elements of this
|
||||
* <code>ResizableArray</code>. This method returns a copy, not a
|
||||
* reference to the underlying array, so that changes made to the returned
|
||||
* array have no effect on this <code>ResizableArray.</code>
|
||||
* @return the double array.
|
||||
*/
|
||||
public double[] getElements() {
|
||||
double[] elementArray = new double[numElements];
|
||||
|
|
@ -589,7 +590,7 @@ public class ResizableDoubleArray implements DoubleArray, Serializable {
|
|||
* <li><code>expansionFactor > 1</code></li>
|
||||
* <li><code>contractionFactor >= expansionFactor</code></li>
|
||||
* </ul>
|
||||
*
|
||||
* @param expansionFactor the new expansion factor value.
|
||||
* @throws IllegalArgumentException if expansionFactor is <= 1 or greater
|
||||
* than contractionFactor
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ import org.apache.commons.math.MathException;
|
|||
* It provides a means to set NumberTransformers that will be selected
|
||||
* based on the Class of the object handed to the Maps
|
||||
* <code>double transform(Object o)</code> method.
|
||||
* @version $Revision: 1.14 $ $Date: 2004/06/18 04:59:06 $
|
||||
* @version $Revision: 1.15 $ $Date: 2004/06/23 16:26:15 $
|
||||
*/
|
||||
public class TransformerMap implements NumberTransformer, Serializable {
|
||||
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ import org.apache.commons.math.util.DefaultTransformer;
|
|||
import org.apache.commons.math.util.NumberTransformer;
|
||||
|
||||
/**
|
||||
* @version $Revision: 1.4 $ $Date: 2004/06/01 21:28:06 $
|
||||
* @version $Revision: 1.5 $ $Date: 2004/06/23 16:26:18 $
|
||||
*/
|
||||
public class ListUnivariateImpl extends DescriptiveStatistics implements Serializable {
|
||||
|
||||
|
|
@ -196,7 +196,7 @@ public class ListUnivariateImpl extends DescriptiveStatistics implements Seriali
|
|||
}
|
||||
|
||||
/**
|
||||
* @see org.apache.commons.math.stat.Univariate#setWindowSize(int)
|
||||
* @see org.apache.commons.math.stat.univariate.DescriptiveStatistics#setWindowSize(int)
|
||||
*/
|
||||
public synchronized void setWindowSize(int windowSize) {
|
||||
this.windowSize = windowSize;
|
||||
|
|
@ -208,6 +208,9 @@ public class ListUnivariateImpl extends DescriptiveStatistics implements Seriali
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @see org.apache.commons.math.stat.univariate.DescriptiveStatistics#getWindowSize
|
||||
*/
|
||||
public int getWindowSize() {
|
||||
return windowSize;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@
|
|||
-->
|
||||
|
||||
<?xml-stylesheet type="text/xsl" href="xdoc.xsl"?>
|
||||
<!-- $Revision: 1.10 $ $Date: 2004/02/28 17:47:37 $ -->
|
||||
<!-- $Revision: 1.11 $ $Date: 2004/06/23 16:26:17 $ -->
|
||||
<document>
|
||||
<properties>
|
||||
<title>Developers Guide</title>
|
||||
|
|
@ -104,9 +104,9 @@
|
|||
<p>
|
||||
Commons-math follows <a href="http://java.sun.com/docs/codeconv/">Code
|
||||
Conventions for the Java Programming Language</a>. As part of the maven
|
||||
build process, style checking is performed using the checkStyle plugin,
|
||||
using the properties specified in <code>checkStyle.properties</code>.
|
||||
Committed code <i>should</i> generate no checkStyle errors.
|
||||
build process, style checking is performed using the Checkstyle plugin,
|
||||
using the properties specified in <code>checkstyle.xml</code>.
|
||||
Committed code <i>should</i> generate no Checkstyle errors.
|
||||
</p>
|
||||
</subsection>
|
||||
<subsection name='Documentation'>
|
||||
|
|
@ -146,9 +146,9 @@
|
|||
All new source file submissions <i>must</i> include the Apache Software
|
||||
License in a comment that begins the file </li>
|
||||
<li>
|
||||
All contributions must comply with the terms of the
|
||||
<a href="http://www.apache.org/foundation/ASF_Contributor_License_1_form.pdf">
|
||||
Apache Contributor License Agreement (CLA)</a></li>
|
||||
All contributions must comply with the terms of the Apache
|
||||
<a href="http://www.apache.org/licenses/cla.pdf">Contributor License
|
||||
Agreement (CLA)</a></li>
|
||||
<li>
|
||||
Patches <i>must</i> be accompanied by a clear reference to a "source"
|
||||
- if code has been "ported" from another language, clearly state the
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
-->
|
||||
|
||||
<?xml-stylesheet type="text/xsl" href="xdoc.xsl"?>
|
||||
<!-- $Revision: 1.22 $ $Date: 2004/05/17 05:59:14 $ -->
|
||||
<!-- $Revision: 1.23 $ $Date: 2004/06/23 16:26:17 $ -->
|
||||
<document>
|
||||
<properties>
|
||||
<title>Tasks: Done And To Do</title>
|
||||
|
|
@ -35,7 +35,7 @@
|
|||
test cases as possible for your code.</p>
|
||||
<dl>
|
||||
<dt>Develop user's guide following the package structure.</dt>
|
||||
<dd>Incomplete Sections: 6.2 Double Array Utilities, 6.4 Binomial Coefficients, 7.4 Complex Formatting</dd>
|
||||
<dd>Incomplete Sections: 6.2 Double Array Utilities, 6.4 Binomial Coefficients</dd>
|
||||
<dt>Performance and accuracy testing.</dt>
|
||||
<dd>If anyone is interested in helping out here, what we could really use is a wider selection of test cases for the core
|
||||
numerical functions and validation against either other packages (e.g. R for the statistical stuff), verified datasets,
|
||||
|
|
@ -49,7 +49,7 @@
|
|||
<ul>
|
||||
<li>Javadoc generation is still throwing warnings. Bring the Javadoc into compliance (i.e. reach zero warnings).</li>
|
||||
<li>Verify that the code matches the documentation and identify obvious inefficiencies or numerical problems. All feedback/suggestions for improvement/patches are welcome.</li>
|
||||
<li>CheckStyle with modified properties still shows many errors. Try to clean these up.</li>
|
||||
<li>Checkstyle with modified properties still shows many errors. Try to clean these up.</li>
|
||||
</ul>
|
||||
</dd>
|
||||
<dt>Javadoc</dt>
|
||||
|
|
@ -64,7 +64,7 @@
|
|||
<dd>
|
||||
<ul>
|
||||
<li>Rework unit tests for root finding</li>
|
||||
<li>CheckStyle with modified properties still shows many errors. Try to clean these up.</li>
|
||||
<li>Checkstyle with modified properties still shows many errors. Try to clean these up.</li>
|
||||
<li>Finalize API (maybe move to stateless implementation)</li>
|
||||
</ul>
|
||||
</dd>
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
-->
|
||||
|
||||
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
|
||||
<!-- $Revision: 1.2 $ $Date: 2004/06/01 13:47:17 $ -->
|
||||
<!-- $Revision: 1.3 $ $Date: 2004/06/23 16:26:16 $ -->
|
||||
<document url="stat.html">
|
||||
<properties>
|
||||
<title>The Commons Math User Guide - Statistics</title>
|
||||
|
|
@ -82,7 +82,7 @@ Complex answer = ComplexMath.log(first); // natural logarithm.
|
|||
org.apache.commons.math.complex.ComplexFormat</a> class.
|
||||
<code>ComplexFormat</code> is a <code>java.text.Format</code>
|
||||
extension and, as such, is used like other formatting objects (e.g.
|
||||
<code>java.text.SimpleDateFormat</code>:
|
||||
<code>java.text.SimpleDateFormat</code>):
|
||||
<source>ComplexFormat format = new ComplexFormat(); // default format
|
||||
Complex c = new Complex(1.1111, 2.2222);
|
||||
String s = format.format(c); // s contains "1.11 + 2.22i"</source>
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
-->
|
||||
|
||||
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
|
||||
<!-- $Revision: 1.9 $ $Date: 2004/06/01 13:47:17 $ -->
|
||||
<!-- $Revision: 1.10 $ $Date: 2004/06/23 16:26:16 $ -->
|
||||
<document url="index.html">
|
||||
<properties>
|
||||
<title>The Commons Math User Guide - Table of Contents</title>
|
||||
|
|
@ -68,12 +68,13 @@
|
|||
<li><a href="special.html">5. Special Functions</a>
|
||||
<ul>
|
||||
<li><a href="special.html#overview">5.1 Overview</a></li>
|
||||
<li><a href="special.html#gamma">5.2 Gamma functions</a></li>
|
||||
<li><a href="special.html#beta">5.3 Beta funtions</a></li>
|
||||
<li><a href="special.html#erf">5.2 Erf functions</a></li>
|
||||
<li><a href="special.html#gamma">5.3 Gamma functions</a></li>
|
||||
<li><a href="special.html#beta">5.4 Beta funtions</a></li>
|
||||
</ul></li>
|
||||
<li><a href="utilities.html">6. Utilities</a>
|
||||
<ul>
|
||||
<li><a href="utilities#overview">6.1 Overview</a></li>
|
||||
<li><a href="utilities.html#overview">6.1 Overview</a></li>
|
||||
<li><a href="utilities.html#arrays">6.2 Double array utilities</a></li>
|
||||
<li><a href="utilities.html#continued_fractions">6.3 Continued Fractions</a></li>
|
||||
<li><a href="utilities.html#math_utils">6.4 binomial coefficients, factorials and other common math functions</a></li>
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
-->
|
||||
|
||||
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
|
||||
<!-- $Revision: 1.7 $ $Date: 2004/02/29 18:50:10 $ -->
|
||||
<!-- $Revision: 1.8 $ $Date: 2004/06/23 16:26:16 $ -->
|
||||
<document url="special.html">
|
||||
<properties>
|
||||
<title>The Commons Math User Guide - Special Functions</title>
|
||||
|
|
@ -32,7 +32,16 @@
|
|||
methods, these special functions were included as part of the Commons-Math public API.
|
||||
</p>
|
||||
</subsection>
|
||||
<subsection name="5.2 Gamma functions" href="gamma">
|
||||
<subsection name="5.2 Erf functions" href="erf">
|
||||
<p>
|
||||
<code>org.apache.commons.math.special.Erf</code> contains several useful functions involving the Error Function, Erf.
|
||||
<table>
|
||||
<tr><th>Function</th><th>Method</th><th>Reference</th></tr>
|
||||
<tr><td>Error Function</td><td>erf</td><td>See <a href="http://mathworld.wolfram.com/Erf.html">Erf</a> from MathWorld</td></tr>
|
||||
</table>
|
||||
</p>
|
||||
</subsection>
|
||||
<subsection name="5.3 Gamma functions" href="gamma">
|
||||
<p>
|
||||
<code>org.apache.commons.math.special.Gamma</code> contains several useful functions involving the Gamma Function.
|
||||
<table>
|
||||
|
|
@ -42,7 +51,7 @@
|
|||
</table>
|
||||
</p>
|
||||
</subsection>
|
||||
<subsection name="5.3 Beta funtions" href="beta">
|
||||
<subsection name="5.4 Beta funtions" href="beta">
|
||||
<p>
|
||||
<code>org.apache.commons.math.special.Beta</code> contains several useful functions involving the Beta Function.
|
||||
<table>
|
||||
|
|
|
|||
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Reference in New Issue