diff --git a/src/main/java/org/apache/commons/math/analysis/interpolation/LoessInterpolator.java b/src/main/java/org/apache/commons/math/analysis/interpolation/LoessInterpolator.java index 3a8db5f3b..e7d52a080 100644 --- a/src/main/java/org/apache/commons/math/analysis/interpolation/LoessInterpolator.java +++ b/src/main/java/org/apache/commons/math/analysis/interpolation/LoessInterpolator.java @@ -47,7 +47,7 @@ public class LoessInterpolator /** Default value of the number of robustness iterations. */ public static final int DEFAULT_ROBUSTNESS_ITERS = 2; - /** + /** * Default value for accuracy. * @since 2.1 */ diff --git a/src/main/java/org/apache/commons/math/analysis/solvers/BrentSolver.java b/src/main/java/org/apache/commons/math/analysis/solvers/BrentSolver.java index a2a726e6e..83c0d91c5 100644 --- a/src/main/java/org/apache/commons/math/analysis/solvers/BrentSolver.java +++ b/src/main/java/org/apache/commons/math/analysis/solvers/BrentSolver.java @@ -32,10 +32,15 @@ import org.apache.commons.math.analysis.UnivariateRealFunction; */ public class BrentSolver extends UnivariateRealSolverImpl { - /** Default absolute accuracy */ + /** + * Default absolute accuracy + * @since 2.1 + */ public static final double DEFAULT_ABSOLUTE_ACCURACY = 1E-6; - /** Default maximum number of iterations */ + /** Default maximum number of iterations + * @since 2.1 + */ public static final int DEFAULT_MAXIMUM_ITERATIONS = 100; /** Error message for non-bracketing interval. */ @@ -71,6 +76,7 @@ public class BrentSolver extends UnivariateRealSolverImpl { * Construct a solver with the given absolute accuracy. * * @param absoluteAccuracy lower bound for absolute accuracy of solutions returned by the solver + * @since 2.1 */ public BrentSolver(double absoluteAccuracy) { super(DEFAULT_MAXIMUM_ITERATIONS, absoluteAccuracy); @@ -81,6 +87,7 @@ public class BrentSolver extends UnivariateRealSolverImpl { * * @param maximumIterations maximum number of iterations * @param absoluteAccuracy lower bound for absolute accuracy of solutions returned by the solver + * @since 2.1 */ public BrentSolver(int maximumIterations, double absoluteAccuracy) { super(maximumIterations, absoluteAccuracy); diff --git a/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java b/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java index 02bf8e8cb..2eec29804 100644 --- a/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java +++ b/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java @@ -40,7 +40,10 @@ public abstract class AbstractContinuousDistribution /** Serializable version identifier */ private static final long serialVersionUID = -38038050983108802L; - /** Solver absolute accuracy for inverse cum computation */ + /** + * Solver absolute accuracy for inverse cum computation + * @since 2.1 + */ private double solverAbsoluteAccuracy = BrentSolver.DEFAULT_ABSOLUTE_ACCURACY; /** @@ -55,6 +58,7 @@ public abstract class AbstractContinuousDistribution * @param x The point at which the density should be computed. * @return The pdf at point x. * @throws MathRuntimeException if the specialized class hasn't implemented this function + * @since 2.1 */ public double density(double x) throws MathRuntimeException { throw new MathRuntimeException(new UnsupportedOperationException(), @@ -166,6 +170,7 @@ public abstract class AbstractContinuousDistribution * Returns the solver absolute accuracy for inverse cum computation. * * @return the maximum absolute error in inverse cumulative probability estimates + * @since 2.1 */ protected double getSolverAbsoluteAccuracy() { return solverAbsoluteAccuracy; diff --git a/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java index 9ec8e71f3..71ef66a8e 100644 --- a/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java @@ -114,6 +114,7 @@ public class BetaDistributionImpl * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ public double density(double x) { recomputeZ(); diff --git a/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java index 200a5554b..96b0d0832 100644 --- a/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java @@ -89,6 +89,7 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { diff --git a/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java index 574177f7d..4822ddcbd 100644 --- a/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java @@ -29,7 +29,10 @@ public class ChiSquaredDistributionImpl extends AbstractContinuousDistribution implements ChiSquaredDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accuracy + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Serializable version identifier */ @@ -71,6 +74,7 @@ public class ChiSquaredDistributionImpl * @param df degrees of freedom. * @param inverseCumAccuracy the maximum absolute error in inverse cumulative probability estimates * (defaults to {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}) + * @since 2.1 */ public ChiSquaredDistributionImpl(double df, double inverseCumAccuracy) { super(); @@ -120,6 +124,7 @@ public class ChiSquaredDistributionImpl * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { @@ -257,6 +262,7 @@ public class ChiSquaredDistributionImpl * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java index 0a20e31c9..54812206b 100644 --- a/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java @@ -91,6 +91,7 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { diff --git a/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java index 447dab3f2..32fdb6e7b 100644 --- a/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java @@ -32,7 +32,10 @@ public class FDistributionImpl extends AbstractContinuousDistribution implements FDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accurac + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Message for non positive degrees of freddom. */ @@ -67,6 +70,7 @@ public class FDistributionImpl * @param denominatorDegreesOfFreedom the denominator degrees of freedom. * @param inverseCumAccuracy the maximum absolute error in inverse cumulative probability estimates * (defaults to {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}) + * @since 2.1 */ public FDistributionImpl(double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom, double inverseCumAccuracy) { @@ -81,6 +85,7 @@ public class FDistributionImpl * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { @@ -269,6 +274,7 @@ public class FDistributionImpl * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java index c8c23aa08..2dd5361ac 100644 --- a/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java @@ -30,7 +30,10 @@ import org.apache.commons.math.special.Gamma; public class GammaDistributionImpl extends AbstractContinuousDistribution implements GammaDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accuracy + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Serializable version identifier */ @@ -60,6 +63,7 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution * @param beta the scale parameter. * @param inverseCumAccuracy the maximum absolute error in inverse cumulative probability estimates * (defaults to {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}) + * @since 2.1 */ public GammaDistributionImpl(double alpha, double beta, double inverseCumAccuracy) { super(); @@ -285,6 +289,7 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java index f4c09e35a..2faca5b76 100644 --- a/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java @@ -33,7 +33,10 @@ import org.apache.commons.math.special.Erf; public class NormalDistributionImpl extends AbstractContinuousDistribution implements NormalDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accuracy + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Serializable version identifier */ @@ -67,6 +70,7 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution * @param mean mean for this distribution * @param sd standard deviation for this distribution * @param inverseCumAccuracy inverse cumulative probability accuracy + * @since 2.1 */ public NormalDistributionImpl(double mean, double sd, double inverseCumAccuracy) { super(); @@ -156,6 +160,7 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ public double density(double x) { double x0 = x - mean; @@ -190,6 +195,7 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/distribution/PoissonDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/PoissonDistributionImpl.java index 9c8dc12a6..0329f80b1 100644 --- a/src/main/java/org/apache/commons/math/distribution/PoissonDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/PoissonDistributionImpl.java @@ -33,11 +33,13 @@ public class PoissonDistributionImpl extends AbstractIntegerDistribution /** * Default maximum number of iterations for cumulative probability calculations. + * @since 2.1 */ public static final int DEFAULT_MAX_ITERATIONS = 10000000; /** - * Default convergence criterion + * Default convergence criterion. + * @since 2.1 */ public static final double DEFAULT_EPSILON = 1E-12; @@ -83,6 +85,7 @@ public class PoissonDistributionImpl extends AbstractIntegerDistribution * @param p the Poisson mean * @param epsilon the convergence criteria for cumulative probabilites * @param maxIterations the maximum number of iterations for cumulative probabilites + * @since 2.1 */ public PoissonDistributionImpl(double p, double epsilon, int maxIterations) { setMean(p); @@ -95,6 +98,7 @@ public class PoissonDistributionImpl extends AbstractIntegerDistribution * * @param p the Poisson mean * @param epsilon the convergence criteria for cumulative probabilites + * @since 2.1 */ public PoissonDistributionImpl(double p, double epsilon) { setMean(p); @@ -106,6 +110,7 @@ public class PoissonDistributionImpl extends AbstractIntegerDistribution * * @param p the Poisson mean * @param maxIterations the maximum number of iterations for cumulative probabilites + * @since 2.1 */ public PoissonDistributionImpl(double p, int maxIterations) { setMean(p); diff --git a/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java index f71cf7af9..4b6a083bf 100644 --- a/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java @@ -33,7 +33,10 @@ public class TDistributionImpl extends AbstractContinuousDistribution implements TDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accuracy + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Serializable version identifier */ @@ -52,6 +55,7 @@ public class TDistributionImpl * @param degreesOfFreedom the degrees of freedom. * @param inverseCumAccuracy the maximum absolute error in inverse cumulative probability estimates * (defaults to {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}) + * @since 2.1 */ public TDistributionImpl(double degreesOfFreedom, double inverseCumAccuracy) { super(); @@ -102,6 +106,7 @@ public class TDistributionImpl * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { @@ -210,6 +215,7 @@ public class TDistributionImpl * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java b/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java index 73d4b5c50..d63b9757b 100644 --- a/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java @@ -31,7 +31,10 @@ import org.apache.commons.math.MathRuntimeException; public class WeibullDistributionImpl extends AbstractContinuousDistribution implements WeibullDistribution, Serializable { - /** Default inverse cumulative probability accuracy */ + /** + * Default inverse cumulative probability accuracy + * @since 2.1 + */ public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9; /** Serializable version identifier */ @@ -63,6 +66,7 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution * @param beta the scale parameter. * @param inverseCumAccuracy the maximum absolute error in inverse cumulative probability estimates * (defaults to {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}) + * @since 2.1 */ public WeibullDistributionImpl(double alpha, double beta, double inverseCumAccuracy){ super(); @@ -107,6 +111,7 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution * * @param x The point at which the density should be computed. * @return The pdf at point x. + * @since 2.1 */ @Override public double density(double x) { @@ -246,6 +251,7 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution * inverse cumulative probabilities. * * @return the solver absolute accuracy + * @since 2.1 */ @Override protected double getSolverAbsoluteAccuracy() { diff --git a/src/main/java/org/apache/commons/math/genetics/GeneticAlgorithm.java b/src/main/java/org/apache/commons/math/genetics/GeneticAlgorithm.java index 3d81ba360..91eed9f0d 100644 --- a/src/main/java/org/apache/commons/math/genetics/GeneticAlgorithm.java +++ b/src/main/java/org/apache/commons/math/genetics/GeneticAlgorithm.java @@ -219,6 +219,7 @@ public class GeneticAlgorithm { * reach {@link StoppingCondition} in the last run. * * @return number of generations evolved + * @since 2.1 */ public int getGenerationsEvolved() { return generationsEvolved; diff --git a/src/main/java/org/apache/commons/math/linear/OpenMapRealVector.java b/src/main/java/org/apache/commons/math/linear/OpenMapRealVector.java index fe7a6ca9e..a36f9b2d0 100644 --- a/src/main/java/org/apache/commons/math/linear/OpenMapRealVector.java +++ b/src/main/java/org/apache/commons/math/linear/OpenMapRealVector.java @@ -200,6 +200,7 @@ public class OpenMapRealVector extends AbstractRealVector implements SparseRealV * Determine if this value is within epsilon of zero. * @param value The value to test * @return true if this value is within epsilon to zero, false otherwise + * @since 2.1 */ protected boolean isDefaultValue(double value) { return Math.abs(value) < epsilon; @@ -279,7 +280,10 @@ public class OpenMapRealVector extends AbstractRealVector implements SparseRealV return res; } - /** {@inheritDoc} */ + /** + * {@inheritDoc} + * @since 2.1 + */ @Override public OpenMapRealVector copy() { return new OpenMapRealVector(this); diff --git a/src/main/java/org/apache/commons/math/optimization/general/AbstractLeastSquaresOptimizer.java b/src/main/java/org/apache/commons/math/optimization/general/AbstractLeastSquaresOptimizer.java index 2e30124a5..0935d53db 100644 --- a/src/main/java/org/apache/commons/math/optimization/general/AbstractLeastSquaresOptimizer.java +++ b/src/main/java/org/apache/commons/math/optimization/general/AbstractLeastSquaresOptimizer.java @@ -63,10 +63,16 @@ public abstract class AbstractLeastSquaresOptimizer implements DifferentiableMul /** Number of rows of the jacobian matrix. */ protected int rows; - /** Target value for the objective functions at optimum. */ + /** + * Target value for the objective functions at optimum. + * @since 2.1 + */ protected double[] targetValues; - /** Weight for the least squares cost computation. */ + /** + * Weight for the least squares cost computation. + * @since 2.1 + */ protected double[] residualsWeights; /** Current point. */ diff --git a/src/main/java/org/apache/commons/math/optimization/general/AbstractScalarDifferentiableOptimizer.java b/src/main/java/org/apache/commons/math/optimization/general/AbstractScalarDifferentiableOptimizer.java index 3daec7132..64281d6f0 100644 --- a/src/main/java/org/apache/commons/math/optimization/general/AbstractScalarDifferentiableOptimizer.java +++ b/src/main/java/org/apache/commons/math/optimization/general/AbstractScalarDifferentiableOptimizer.java @@ -45,7 +45,10 @@ public abstract class AbstractScalarDifferentiableOptimizer /** Convergence checker. */ protected RealConvergenceChecker checker; - /** Type of optimization. */ + /** + * Type of optimization. + * @since 2.1 + */ protected GoalType goal; /** Current point set. */ diff --git a/src/main/java/org/apache/commons/math/optimization/linear/AbstractLinearOptimizer.java b/src/main/java/org/apache/commons/math/optimization/linear/AbstractLinearOptimizer.java index 06704bdc3..c043e100f 100644 --- a/src/main/java/org/apache/commons/math/optimization/linear/AbstractLinearOptimizer.java +++ b/src/main/java/org/apache/commons/math/optimization/linear/AbstractLinearOptimizer.java @@ -37,16 +37,28 @@ public abstract class AbstractLinearOptimizer implements LinearOptimizer { /** Default maximal number of iterations allowed. */ public static final int DEFAULT_MAX_ITERATIONS = 100; - /** Linear objective function. */ + /** + * Linear objective function. + * @since 2.1 + */ protected LinearObjectiveFunction function; - /** Linear constraints. */ + /** + * Linear constraints. + * @since 2.1 + */ protected Collection linearConstraints; - /** Type of optimization goal: either {@link GoalType#MAXIMIZE} or {@link GoalType#MINIMIZE}. */ + /** + * Type of optimization goal: either {@link GoalType#MAXIMIZE} or {@link GoalType#MINIMIZE}. + * @since 2.1 + */ protected GoalType goal; - /** Whether to restrict the variables to non-negative values. */ + /** + * Whether to restrict the variables to non-negative values. + * @since 2.1 + */ protected boolean nonNegative; /** Maximal number of iterations allowed. */ diff --git a/src/main/java/org/apache/commons/math/random/EmpiricalDistributionImpl.java b/src/main/java/org/apache/commons/math/random/EmpiricalDistributionImpl.java index a8f30caae..5c51a499e 100644 --- a/src/main/java/org/apache/commons/math/random/EmpiricalDistributionImpl.java +++ b/src/main/java/org/apache/commons/math/random/EmpiricalDistributionImpl.java @@ -436,6 +436,7 @@ public class EmpiricalDistributionImpl implements Serializable, EmpiricalDistrib * bounds now returned by {@link #getGeneratorUpperBounds()}.

* * @return array of bin upper bounds + * @since 2.1 */ public double[] getUpperBounds() { double[] binUpperBounds = new double[binCount]; diff --git a/src/main/java/org/apache/commons/math/random/UnitSphereRandomVectorGenerator.java b/src/main/java/org/apache/commons/math/random/UnitSphereRandomVectorGenerator.java index ed5a4246b..da509d966 100644 --- a/src/main/java/org/apache/commons/math/random/UnitSphereRandomVectorGenerator.java +++ b/src/main/java/org/apache/commons/math/random/UnitSphereRandomVectorGenerator.java @@ -21,6 +21,7 @@ package org.apache.commons.math.random; /** * Generate random vectors isotropically located on the surface of a sphere. * + * @since 2.1 * @version $Revision$ $Date$ */ diff --git a/src/main/java/org/apache/commons/math/stat/clustering/EuclideanIntegerPoint.java b/src/main/java/org/apache/commons/math/stat/clustering/EuclideanIntegerPoint.java index dde867f07..360c2bd1a 100644 --- a/src/main/java/org/apache/commons/math/stat/clustering/EuclideanIntegerPoint.java +++ b/src/main/java/org/apache/commons/math/stat/clustering/EuclideanIntegerPoint.java @@ -99,7 +99,10 @@ public class EuclideanIntegerPoint implements Clusterable return hashCode; } - /** {@inheritDoc} */ + /** + * {@inheritDoc} + * @since 2.1 + */ @Override public String toString() { final StringBuffer buff = new StringBuffer("("); diff --git a/src/main/java/org/apache/commons/math/util/BigReal.java b/src/main/java/org/apache/commons/math/util/BigReal.java index 65510242e..c2ec36913 100644 --- a/src/main/java/org/apache/commons/math/util/BigReal.java +++ b/src/main/java/org/apache/commons/math/util/BigReal.java @@ -192,6 +192,7 @@ public class BigReal implements FieldElement, Comparable, Seri * Gets the rounding mode for division operations * The default is {@code RoundingMode.HALF_UP} * @return the rounding mode. + * @since 2.1 */ public RoundingMode getRoundingMode() { return roundingMode; @@ -200,6 +201,7 @@ public class BigReal implements FieldElement, Comparable, Seri /*** * Sets the rounding mode for decimal divisions. * @param roundingMode rounding mode for decimal divisions + * @since 2.1 */ public void setRoundingMode(RoundingMode roundingMode) { this.roundingMode = roundingMode; @@ -209,6 +211,7 @@ public class BigReal implements FieldElement, Comparable, Seri * Sets the scale for division operations. * The default is 64 * @return the scale + * @since 2.1 */ public int getScale() { return scale; @@ -217,6 +220,7 @@ public class BigReal implements FieldElement, Comparable, Seri /*** * Sets the scale for division operations. * @param scale scale for division operations + * @since 2.1 */ public void setScale(int scale) { this.scale = scale; diff --git a/src/main/java/org/apache/commons/math/util/MathUtils.java b/src/main/java/org/apache/commons/math/util/MathUtils.java index 86393e7c4..beb306e5c 100644 --- a/src/main/java/org/apache/commons/math/util/MathUtils.java +++ b/src/main/java/org/apache/commons/math/util/MathUtils.java @@ -38,7 +38,10 @@ public final class MathUtils { */ public static final double SAFE_MIN = 0x1.0p-1022; - /** 2 π. */ + /** + * 2 π. + * @since 2.1 + */ public static final double TWO_PI = 2 * Math.PI; /** -1.0 cast as a byte. */ @@ -1141,6 +1144,7 @@ public final class MathUtils { * @return normalized array * @throws ArithmeticException if the input array contains infinite elements or sums to zero * @throws IllegalArgumentException if the target sum is infinite or NaN + * @since 2.1 */ public static double[] normalizeArray(double[] values, double normalizedSum) throws ArithmeticException, IllegalArgumentException {