Uses of Interface
org.hipparchus.util.MathArrays.Function

Packages that use MathArrays.Function

Package	Description
org.hipparchus.stat.descriptive	Generic univariate and multivariate summary statistic objects.
org.hipparchus.stat.descriptive.moment	Summary statistics based on moments.
org.hipparchus.stat.descriptive.rank	Summary statistics based on ranks.
org.hipparchus.stat.descriptive.summary	Other summary statistics.
org.hipparchus.util	Convenience routines and common data structures used throughout the Hipparchus library.

Uses of MathArrays.Function in org.hipparchus.stat.descriptive

Subinterfaces of MathArrays.Function in org.hipparchus.stat.descriptive

Modifier and Type	Interface and Description
interface	StorelessUnivariateStatistic Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
interface	UnivariateStatistic Base interface implemented by all statistics.

Classes in org.hipparchus.stat.descriptive that implement MathArrays.Function

Modifier and Type	Class and Description
class	AbstractStorelessUnivariateStatistic Abstract base class for implementations of the StorelessUnivariateStatistic interface.
class	AbstractUnivariateStatistic Abstract base class for implementations of the UnivariateStatistic interface.

Uses of MathArrays.Function in org.hipparchus.stat.descriptive.moment

Classes in org.hipparchus.stat.descriptive.moment that implement MathArrays.Function

Modifier and Type	Class and Description
class	GeometricMean Returns the geometric mean of the available values.
class	Kurtosis Computes the Kurtosis of the available values.
class	Mean Computes the arithmetic mean of a set of values.
class	SecondMoment Computes a statistic related to the Second Central Moment.
class	SemiVariance Computes the semivariance of a set of values with respect to a given cutoff value.
class	Skewness Computes the skewness of the available values.
class	StandardDeviation Computes the sample standard deviation.
class	Variance Computes the variance of the available values.

Uses of MathArrays.Function in org.hipparchus.stat.descriptive.rank

Classes in org.hipparchus.stat.descriptive.rank that implement MathArrays.Function

Modifier and Type	Class and Description
class	Max Returns the maximum of the available values.
class	Median Returns the median of the available values.
class	Min Returns the minimum of the available values.
class	Percentile Provides percentile computation.
class	PSquarePercentile A StorelessUnivariateStatistic estimating percentiles using the P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.
class	RandomPercentile A StorelessUnivariateStatistic estimating percentiles using the RANDOM Algorithm.

Uses of MathArrays.Function in org.hipparchus.stat.descriptive.summary

Classes in org.hipparchus.stat.descriptive.summary that implement MathArrays.Function

Modifier and Type	Class and Description
class	Product Returns the product of the available values.
class	Sum Returns the sum of the available values.
class	SumOfLogs Returns the sum of the natural logs for this collection of values.
class	SumOfSquares Returns the sum of the squares of the available values.

Uses of MathArrays.Function in org.hipparchus.util

Methods in org.hipparchus.util with parameters of type MathArrays.Function

Modifier and Type	Method and Description
double	ResizableDoubleArray.compute(MathArrays.Function f) Performs an operation on the addressable elements of the array.