[MATH-1537] fix_typos

README.md

@@ -98,6 +98,6 @@ Additional Resources
 + [Apache Commons Homepage](https://commons.apache.org/)
 + [Apache Bugtracker (JIRA)](https://issues.apache.org/jira/)
 + [Apache Commons Twitter Account](https://twitter.com/ApacheCommons)
-+ #apachecommons IRC channel on freenode.org
++ `#apache-commons` IRC channel on `irc.freenode.org`
 
 [ml]:https://commons.apache.org/mail-lists.html

src/changes/changes.xml

@@ -3779,7 +3779,7 @@ are simply solved by adjusting the import statements in users code.">
         static methods to create instances and execute tests.
       </action>
       <action dev="psteitz" type="update" issue="MATH-95"  due-to="Paul Field">
-        Eliminated repeated endpoint function evalutations in BrentSolver, SecantSolver.
+        Eliminated repeated endpoint function evaluations in BrentSolver, SecantSolver.
       </action>
       <action dev="psteitz" type="update" issue="MATH-137"  due-to="Rodrigo di Lorenzo Lopes">
         Added setSubMatrix methods to RealMatrixImpl, BigMatrixImpl.  To

src/main/java/org/apache/commons/math4/analysis/integration/gauss/GaussIntegratorFactory.java

@@ -43,7 +43,7 @@ public class GaussIntegratorFactory {
      * The call to the
      * {@link GaussIntegrator#integrate(org.apache.commons.math4.analysis.UnivariateFunction)
      * integrate} method will perform an integration on the interval
-     * \([0, +\infty)\): the computed value is the improper integral of
+     * \([0, +\infinity)\): the computed value is the improper integral of
      * \(e^{-x} f(x)\)
      * where \(f(x)\) is the function passed to the
      * {@link SymmetricGaussIntegrator#integrate(org.apache.commons.math4.analysis.UnivariateFunction)
@@ -131,7 +131,7 @@ public GaussIntegrator legendreHighPrecision(int numberOfPoints,
      * The call to the
      * {@link SymmetricGaussIntegrator#integrate(org.apache.commons.math4.analysis.UnivariateFunction)
      * integrate} method will perform a weighted integration on the interval
-     * \([-\infty, +\infty]\): the computed value is the improper integral of
+     * \([-\infinity, +\infinity]\): the computed value is the improper integral of
      * \(e^{-x^2}f(x)\)
      * where \(f(x)\) is the function passed to the
      * {@link SymmetricGaussIntegrator#integrate(org.apache.commons.math4.analysis.UnivariateFunction)

src/main/java/org/apache/commons/math4/analysis/interpolation/LoessInterpolator.java

@@ -177,7 +177,7 @@ public LoessInterpolator(double bandwidth, int robustnessIters, double accuracy)
      * @throws NotFiniteNumberException if any of the arguments and values are
      * not finite real numbers.
      * @throws NumberIsTooSmallException if the bandwidth is too small to
-     * accomodate the size of the input data (i.e. the bandwidth must be
+     * accommodate the size of the input data (i.e. the bandwidth must be
      * larger than 2/n).
      */
     @Override
@@ -207,7 +207,7 @@ public final PolynomialSplineFunction interpolate(final double[] xval,
      * @throws NotFiniteNumberException if any of the arguments and values are
      not finite real numbers.
      * @throws NumberIsTooSmallException if the bandwidth is too small to
-     * accomodate the size of the input data (i.e. the bandwidth must be
+     * accommodate the size of the input data (i.e. the bandwidth must be
      * larger than 2/n).
      * @since 2.1
      */
@@ -376,7 +376,7 @@ public final double[] smooth(final double[] xval, final double[] yval,
      * @throws NotFiniteNumberException if any of the arguments and values are
      * not finite real numbers.
      * @throws NumberIsTooSmallException if the bandwidth is too small to
-     * accomodate the size of the input data (i.e. the bandwidth must be
+     * accommodate the size of the input data (i.e. the bandwidth must be
      * larger than 2/n).
      */
     public final double[] smooth(final double[] xval, final double[] yval)

src/main/java/org/apache/commons/math4/analysis/interpolation/TricubicInterpolatingFunction.java

@@ -114,7 +114,7 @@ public class TricubicInterpolatingFunction
     private final double[] yval;
     /** Samples z-coordinates */
     private final double[] zval;
-    /** Set of cubic splines pacthing the whole data grid */
+    /** Set of cubic splines patching the whole data grid */
     private final TricubicFunction[][][] splines;
 
     /**

src/main/java/org/apache/commons/math4/analysis/interpolation/UnivariateInterpolator.java

@@ -34,7 +34,7 @@ public interface UnivariateInterpolator {
      * @throws MathIllegalArgumentException
      * if the arguments violate assumptions made by the interpolation
      * algorithm.
-     * @throws DimensionMismatchException if arrays lengthes do not match
+     * @throws DimensionMismatchException if arrays lengths do not match
      */
     UnivariateFunction interpolate(double xval[], double yval[])
         throws MathIllegalArgumentException, DimensionMismatchException;

src/main/java/org/apache/commons/math4/analysis/interpolation/UnivariatePeriodicInterpolator.java

@@ -50,7 +50,7 @@ public class UnivariatePeriodicInterpolator
      * @param period Period.
      * @param extend Number of points to be appended at the beginning and
      * end of the sample arrays in order to avoid interpolation failure at
-     * the (periodic) boundaries of the orginal interval. The value is the
+     * the (periodic) boundaries of the original interval. The value is the
      * number of sample points which the original {@code interpolator} needs
      * on each side of the interpolated point.
      */

src/main/java/org/apache/commons/math4/complex/ComplexFormat.java

@@ -363,7 +363,7 @@ public Complex parse(String source) throws MathParseException {
      * Parses a string to produce a {@link Complex} object.
      *
      * @param source the string to parse
-     * @param pos input/ouput parsing parameter.
+     * @param pos input/output parsing parameter.
      * @return the parsed {@link Complex} object.
      */
     public Complex parse(String source, ParsePosition pos) {

src/main/java/org/apache/commons/math4/exception/util/LocalizedFormats.java

@@ -303,7 +303,7 @@ public enum LocalizedFormats implements Localizable {
     OVERFLOW_IN_MULTIPLICATION("overflow in multiplication: {0} * {1}"),
     PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD("cannot access {0} method in percentile implementation {1}"),
     PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD("percentile implementation {0} does not support {1}"),
-    PERMUTATION_EXCEEDS_N("permutation size ({0}) exceeds permuation domain ({1})"), /* keep */
+    PERMUTATION_EXCEEDS_N("permutation size ({0}) exceeds permutation domain ({1})"), /* keep */
     POLYNOMIAL("polynomial"), /* keep */
     POLYNOMIAL_INTERPOLANTS_MISMATCH_SEGMENTS("number of polynomial interpolants must match the number of segments ({0} != {1} - 1)"),
     POPULATION_LIMIT_NOT_POSITIVE("population limit has to be positive"),
@@ -357,7 +357,7 @@ public enum LocalizedFormats implements Localizable {
     VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC("{0} values have been added before statistic is configured"),
     VECTOR_LENGTH_MISMATCH("vector length mismatch: got {0} but expected {1}"),
     VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT("vector must have at least one element"),
-    WEIGHT_AT_LEAST_ONE_NON_ZERO("weigth array must contain at least one non-zero value"),
+    WEIGHT_AT_LEAST_ONE_NON_ZERO("weight array must contain at least one non-zero value"),
     WRONG_BLOCK_LENGTH("wrong array shape (block length = {0}, expected {1})"),
     WRONG_NUMBER_OF_POINTS("{0} points are required, got only {1}"),
     NUMBER_OF_POINTS("number of points ({0})"), /* keep */

src/main/java/org/apache/commons/math4/fitting/GaussianCurveFitter.java

@@ -104,7 +104,7 @@ public double[] gradient(double x, double ... p) {
     private final int maxIter;
 
     /**
-     * Contructor used by the factory methods.
+     * Constructor used by the factory methods.
      *
      * @param initialGuess Initial guess. If set to {@code null}, the initial guess
      * will be estimated using the {@link ParameterGuesser}.

src/main/java/org/apache/commons/math4/fitting/HarmonicCurveFitter.java

@@ -55,7 +55,7 @@ public class HarmonicCurveFitter extends AbstractCurveFitter {
     private final int maxIter;
 
     /**
-     * Contructor used by the factory methods.
+     * Constructor used by the factory methods.
      *
      * @param initialGuess Initial guess. If set to {@code null}, the initial guess
      * will be estimated using the {@link ParameterGuesser}.

src/main/java/org/apache/commons/math4/fitting/PolynomialCurveFitter.java

@@ -45,7 +45,7 @@ public class PolynomialCurveFitter extends AbstractCurveFitter {
     private final int maxIter;
 
     /**
-     * Contructor used by the factory methods.
+     * Constructor used by the factory methods.
      *
      * @param initialGuess Initial guess.
      * @param maxIter Maximum number of iterations of the optimization algorithm.

src/main/java/org/apache/commons/math4/fitting/SimpleCurveFitter.java

@@ -37,7 +37,7 @@ public class SimpleCurveFitter extends AbstractCurveFitter {
     private final int maxIter;
 
     /**
-     * Contructor used by the factory methods.
+     * Constructor used by the factory methods.
      *
      * @param function Function to fit.
      * @param initialGuess Initial guess. Cannot be {@code null}. Its length must

src/main/java/org/apache/commons/math4/fitting/leastsquares/DenseWeightedEvaluation.java

@@ -35,7 +35,7 @@ class DenseWeightedEvaluation extends AbstractEvaluation {
     /**
      * Create a weighted evaluation from an unweighted one.
      *
-     * @param unweighted the evalutation before weights are applied
+     * @param unweighted the evaluation before weights are applied
      * @param weightSqrt the matrix square root of the weight matrix
      */
     DenseWeightedEvaluation(final Evaluation unweighted,

src/main/java/org/apache/commons/math4/genetics/SelectionPolicy.java

@@ -26,7 +26,7 @@
 public interface SelectionPolicy {
     /**
      * Select two chromosomes from the population.
-     * @param population the population from which the chromosomes are choosen.
+     * @param population the population from which the chromosomes are chosen.
      * @return the selected chromosomes.
      * @throws MathIllegalArgumentException if the population is not compatible with this {@link SelectionPolicy}
      */

src/main/java/org/apache/commons/math4/genetics/UniformCrossover.java

@@ -33,7 +33,7 @@
  * suggests that it is more exploratory and results in a larger part of the
  * problem space being searched.
  * <p>
- * This crossover policy evaluates each gene of the parent chromosomes by chosing a
+ * This crossover policy evaluates each gene of the parent chromosomes by choosing a
  * uniform random number {@code p} in the range [0, 1]. If {@code p} &lt; {@code ratio},
  * the parent genes are swapped. This means with a ratio of 0.7, 30% of the genes from the
  * first parent and 70% from the second parent will be selected for the first offspring (and

src/main/java/org/apache/commons/math4/geometry/euclidean/threed/NotARotationMatrixException.java

@@ -35,7 +35,7 @@ public class NotARotationMatrixException
 
     /**
      * Simple constructor.
-     * Build an exception by translating and formating a message
+     * Build an exception by translating and formatting a message
      * @param specifier format specifier (to be translated)
      * @param parts to insert in the format (no translation)
      * @since 2.2

src/main/java/org/apache/commons/math4/linear/DefaultIterativeLinearSolverEvent.java

@@ -75,7 +75,7 @@ public DefaultIterativeLinearSolverEvent(final Object source, final int iteratio
      * Therefore the user must make sure that these vectors are either
      * unmodifiable views or deep copies of the same vectors actually used by
      * the {@code source}. Failure to do so may compromise subsequent iterations
-     * of the {@code source}. Callling {@link #getResidual()} on instances
+     * of the {@code source}. Calling {@link #getResidual()} on instances
      * returned by this constructor throws a
      * {@link MathUnsupportedOperationException}, while
      * {@link #providesResidual()} returns {@code false}.

src/main/java/org/apache/commons/math4/linear/IterativeLinearSolverEvent.java

@@ -82,8 +82,8 @@ public IterativeLinearSolverEvent(final Object source, final int iterations) {
      * </ul>
      * <p>
      * The default implementation throws a
-     * {@link MathUnsupportedOperationException}. If this method is overriden,
-     * then {@link #providesResidual()} should be overriden as well.
+     * {@link MathUnsupportedOperationException}. If this method is overridden,
+     * then {@link #providesResidual()} should be overridden as well.
      * </p>
      *
      * @return the updated residual, r

src/main/java/org/apache/commons/math4/linear/RealMatrixFormat.java

@@ -295,7 +295,7 @@ public RealMatrix parse(String source) {
      * Parse a string to produce a {@link RealMatrix} object.
      *
      * @param source String to parse.
-     * @param pos input/ouput parsing parameter.
+     * @param pos input/output parsing parameter.
      * @return the parsed {@link RealMatrix} object.
      */
     public RealMatrix parse(String source, ParsePosition pos) {

src/main/java/org/apache/commons/math4/linear/RealVector.java

@@ -1082,7 +1082,7 @@ public void setIndex(int index) {
      * coordinates.
      * </p>
      * <p>
-     * This method <em>must</em> be overriden by concrete subclasses of
+     * This method <em>must</em> be overridden by concrete subclasses of
      * {@link RealVector} (the current implementation throws an exception).
      * </p>
      *
@@ -1100,7 +1100,7 @@ public boolean equals(Object other)
     }
 
     /**
-     * {@inheritDoc}. This method <em>must</em> be overriden by concrete
+     * {@inheritDoc}. This method <em>must</em> be overridden by concrete
      * subclasses of {@link RealVector} (current implementation throws an
      * exception).
      *

src/main/java/org/apache/commons/math4/linear/RealVectorFormat.java

@@ -234,7 +234,7 @@ public ArrayRealVector parse(String source) {
      * Parse a string to produce a {@link RealVector} object.
      *
      * @param source String to parse.
-     * @param pos input/ouput parsing parameter.
+     * @param pos input/output parsing parameter.
      * @return the parsed {@link RealVector} object.
      */
     public ArrayRealVector parse(String source, ParsePosition pos) {

src/main/java/org/apache/commons/math4/linear/SingularValueDecomposition.java

@@ -601,7 +601,7 @@ public void visit(final int row, final int column,
      * Returns the L<sub>2</sub> norm of the matrix.
      * <p>The L<sub>2</sub> norm is max(|A &times; u|<sub>2</sub> /
      * |u|<sub>2</sub>), where |.|<sub>2</sub> denotes the vectorial 2-norm
-     * (i.e. the traditional euclidian norm).</p>
+     * (i.e. the traditional euclidean norm).</p>
      * @return norm
      */
     public double getNorm() {

src/main/java/org/apache/commons/math4/ml/neuralnet/twod/util/UnifiedDistanceMatrix.java

@@ -123,7 +123,7 @@ private double[][] individualDistances(NeuronSquareMesh2D map) {
         }
 
         // 2.
-        // Fill the bottom-rigth slot of each unit's location with the average
+        // Fill the bottom-right slot of each unit's location with the average
         // of the distances between
         //  * the current unit and its bottom-right neighbour, and
         //  * the bottom-center neighbour and the right neighbour.

src/main/java/org/apache/commons/math4/ode/ContinuousOutputFieldModel.java

@@ -165,7 +165,7 @@ public void append(final ContinuousOutputFieldModel<T> model)
 
     /** Check dimensions equality.
      * @param d1 first dimension
-     * @param d2 second dimansion
+     * @param d2 second dimension
      * @exception DimensionMismatchException if dimensions do not match
      */
     private void checkDimensionsEquality(final int d1, final int d2)

src/main/java/org/apache/commons/math4/ode/nonstiff/RungeKuttaFieldStepInterpolator.java

@@ -132,7 +132,7 @@ protected T[] derivativeLinearCombination(final T ... coefficients) {
     /** Linearly combine arrays.
      * @param a array to add to
      * @param coefficients coefficients to apply to the method staged derivatives
-     * @return a itself, as a conveniency for fluent API
+     * @return a itself, as a convenience for fluent API
      */
     @SuppressWarnings("unchecked")
     private T[] combine(final T[] a, final T ... coefficients) {

src/main/java/org/apache/commons/math4/optim/MaxEval.java

@@ -24,11 +24,11 @@
  * @since 3.1
  */
 public class MaxEval implements OptimizationData {
-    /** Allowed number of evalutations. */
+    /** Allowed number of evaluations. */
     private final int maxEval;
 
     /**
-     * @param max Allowed number of evalutations.
+     * @param max Allowed number of evaluations.
      * @throws NotStrictlyPositiveException if {@code max <= 0}.
      */
     public MaxEval(int max) {

src/main/java/org/apache/commons/math4/optim/MaxIter.java

@@ -24,7 +24,7 @@
  * @since 3.1
  */
 public class MaxIter implements OptimizationData {
-    /** Allowed number of evalutations. */
+    /** Allowed number of evaluations. */
     private final int maxIter;
 
     /**

src/main/java/org/apache/commons/math4/optim/SimplePointChecker.java

@@ -106,7 +106,7 @@ public SimplePointChecker(final double relativeThreshold,
      * @param iteration Index of current iteration
      * @param previous Best point in the previous iteration.
      * @param current Best point in the current iteration.
-     * @return {@code true} if the arguments satify the convergence criterion.
+     * @return {@code true} if the arguments satisfy the convergence criterion.
      */
     @Override
     public boolean converged(final int iteration,

src/main/java/org/apache/commons/math4/optim/SimpleVectorValueChecker.java

@@ -107,7 +107,7 @@ public SimpleVectorValueChecker(final double relativeThreshold,
      * @param iteration Index of current iteration
      * @param previous Best point in the previous iteration.
      * @param current Best point in the current iteration.
-     * @return {@code true} if the arguments satify the convergence criterion.
+     * @return {@code true} if the arguments satisfy the convergence criterion.
      */
     @Override
     public boolean converged(final int iteration,

src/main/java/org/apache/commons/math4/optim/nonlinear/scalar/MultivariateFunctionPenaltyAdapter.java

@@ -116,7 +116,7 @@ public class MultivariateFunctionPenaltyAdapter
      * @param offset base offset of the penalty function
      * @param scale scale of the penalty function
      * @exception DimensionMismatchException if lower bounds, upper bounds and
-     * scales are not consistent, either according to dimension or to bounadary
+     * scales are not consistent, either according to dimension or to boundary
      * values
      */
     public MultivariateFunctionPenaltyAdapter(final MultivariateFunction bounded,

src/main/java/org/apache/commons/math4/optim/nonlinear/scalar/noderiv/CMAESOptimizer.java

@@ -627,7 +627,7 @@ private void initializeCMA(double[] guess) {
         ccovmuSep = FastMath.min(1 - ccov1, ccovmu * (dimension + 1.5) / 3);
         chiN = FastMath.sqrt(dimension) *
                 (1 - 1 / ((double) 4 * dimension) + 1 / ((double) 21 * dimension * dimension));
-        // intialize CMA internal values - updated each generation
+        // initialize CMA internal values - updated each generation
         xmean = MatrixUtils.createColumnRealMatrix(guess); // objective variables
         diagD = insigma.scalarMultiply(1 / sigma);
         diagC = square(diagD);

src/main/java/org/apache/commons/math4/optim/univariate/BracketFinder.java

@@ -215,14 +215,14 @@ public void search(UnivariateFunction func,
     }
 
     /**
-     * @return the number of evalutations.
+     * @return the number of evaluations.
      */
     public int getMaxEvaluations() {
         return maxEvaluations;
     }
 
     /**
-     * @return the number of evalutations.
+     * @return the number of evaluations.
      */
     public int getEvaluations() {
         return evaluations;

src/main/java/org/apache/commons/math4/stat/correlation/PearsonsCorrelation.java

@@ -132,7 +132,7 @@ public PearsonsCorrelation(RealMatrix covarianceMatrix, int numberOfObservations
     /**
      * Returns the correlation matrix.
      *
-     * <p>This method will return null if the argumentless constructor was used
+     * <p>This method will return null if the non-argument constructor was used
      * to create this instance, even if {@link #computeCorrelationMatrix(double[][])}
      * has been called before it is activated.</p>
      *

src/main/java/org/apache/commons/math4/stat/descriptive/moment/Kurtosis.java

@@ -143,7 +143,7 @@ public long getN() {
         return moment.getN();
     }
 
-    /* UnvariateStatistic Approach  */
+    /* UinvariateStatistic Approach  */
 
     /**
      * Returns the kurtosis of the entries in the specified portion of the

src/main/java/org/apache/commons/math4/stat/descriptive/moment/SemiVariance.java

@@ -92,7 +92,7 @@ public SemiVariance() {
      * property and default (Downside) <code>varianceDirection</code> property.
      *
      * @param biasCorrected  setting for bias correction - true means
-     * bias will be corrected and is equivalent to using the argumentless
+     * bias will be corrected and is equivalent to using the non-argument
      * constructor
      */
     public SemiVariance(final boolean biasCorrected) {
@@ -115,7 +115,7 @@ public SemiVariance(final Direction direction) {
      * property and the specified <code>Direction</code> property.
      *
      * @param corrected  setting for bias correction - true means
-     * bias will be corrected and is equivalent to using the argumentless
+     * bias will be corrected and is equivalent to using the non-argument
      * constructor
      *
      * @param direction  setting for the direction of the SemiVariance