Uses of Class
cern.colt.list.DoubleArrayList

Packages that use DoubleArrayList

Package	Description
cern.colt	Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.
cern.colt.buffer	Fixed sized (non resizable) streaming buffers connected to a target objects to which data is automatically flushed upon buffer overflow.
cern.colt.list	Resizable lists holding objects or primitive data types such as int, double, etc.
cern.colt.map	Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc.
cern.colt.matrix	Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
cern.colt.matrix.impl	Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix, without subsetting or supersetting.
cern.jet.stat	Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc.
cern.jet.stat.quantile	Scalable algorithms and data structures to compute approximate quantiles over very large data sequences.

Uses of DoubleArrayList in cern.colt

Methods in cern.colt with parameters of type DoubleArrayList

Modifier and Type	Method and Description
static void	Partitioning.partition(DoubleArrayList list, int from, int to, DoubleArrayList splitters, IntArrayList splitIndexes) Equivalent to partition(list.elements(), from, to, splitters.elements(), 0, splitters.size()-1, splitIndexes.elements()).

Uses of DoubleArrayList in cern.colt.buffer

Fields in cern.colt.buffer declared as DoubleArrayList

Modifier and Type	Field and Description
protected DoubleArrayList	DoubleBuffer.list
protected DoubleArrayList	DoubleBuffer3D.xList
protected DoubleArrayList	DoubleBuffer2D.xList
protected DoubleArrayList	DoubleBuffer3D.yList
protected DoubleArrayList	DoubleBuffer2D.yList
protected DoubleArrayList	DoubleBuffer3D.zList

Methods in cern.colt.buffer with parameters of type DoubleArrayList

Modifier and Type	Method and Description
void	DoubleBufferConsumer.addAllOf(DoubleArrayList list) Adds all elements of the specified list to the receiver.
void	DoubleBuffer.addAllOf(DoubleArrayList list) Adds all elements of the specified list to the receiver.
void	DoubleBuffer2DConsumer.addAllOf(DoubleArrayList x, DoubleArrayList y) Adds all specified (x,y) points to the receiver.
void	DoubleBuffer2D.addAllOf(DoubleArrayList x, DoubleArrayList y) Adds all specified points (x,y) to the receiver.
void	DoubleBuffer3D.addAllOf(DoubleArrayList xElements, DoubleArrayList yElements, DoubleArrayList zElements) Adds all specified (x,y,z) points to the receiver.
void	DoubleBuffer3DConsumer.addAllOf(DoubleArrayList x, DoubleArrayList y, DoubleArrayList z) Adds all specified (x,y,z) points to the receiver.

Uses of DoubleArrayList in cern.colt.list

Methods in cern.colt.list that return DoubleArrayList

Modifier and Type	Method and Description
DoubleArrayList	DoubleArrayList.copy() Returns a deep copy of the receiver; uses clone() and casts the result.

Methods in cern.colt.list with parameters of type DoubleArrayList

Modifier and Type	Method and Description
void	AbstractDoubleList.addAllOf(DoubleArrayList other) Appends all elements of the specified list to the receiver.

Uses of DoubleArrayList in cern.colt.map

Methods in cern.colt.map that return DoubleArrayList

Modifier and Type	Method and Description
DoubleArrayList	AbstractDoubleIntMap.keys() Returns a list filled with all keys contained in the receiver.
DoubleArrayList	AbstractIntDoubleMap.values() Returns a list filled with all values contained in the receiver.

Methods in cern.colt.map with parameters of type DoubleArrayList

Modifier and Type	Method and Description
void	OpenDoubleIntHashMap.keys(DoubleArrayList list) Fills all keys contained in the receiver into the specified list.
void	AbstractDoubleIntMap.keys(DoubleArrayList list) Fills all keys contained in the receiver into the specified list.
void	AbstractDoubleIntMap.keysSortedByValue(DoubleArrayList keyList) Fills all keys sorted ascending by their associated value into the specified list.
void	OpenDoubleIntHashMap.pairsMatching(DoubleIntProcedure condition, DoubleArrayList keyList, IntArrayList valueList) Fills all pairs satisfying a given condition into the specified lists.
void	AbstractDoubleIntMap.pairsMatching(DoubleIntProcedure condition, DoubleArrayList keyList, IntArrayList valueList) Fills all pairs satisfying a given condition into the specified lists.
void	OpenIntDoubleHashMap.pairsMatching(IntDoubleProcedure condition, IntArrayList keyList, DoubleArrayList valueList) Fills all pairs satisfying a given condition into the specified lists.
void	AbstractIntDoubleMap.pairsMatching(IntDoubleProcedure condition, IntArrayList keyList, DoubleArrayList valueList) Fills all pairs satisfying a given condition into the specified lists.
void	AbstractDoubleIntMap.pairsSortedByKey(DoubleArrayList keyList, IntArrayList valueList) Fills all keys and values sorted ascending by key into the specified lists.
void	AbstractIntDoubleMap.pairsSortedByKey(IntArrayList keyList, DoubleArrayList valueList) Fills all keys and values sorted ascending by key into the specified lists.
void	AbstractDoubleIntMap.pairsSortedByValue(DoubleArrayList keyList, IntArrayList valueList) Fills all keys and values sorted ascending by value into the specified lists.
void	AbstractIntDoubleMap.pairsSortedByValue(IntArrayList keyList, DoubleArrayList valueList) Fills all keys and values sorted ascending by value into the specified lists.
void	OpenIntDoubleHashMap.values(DoubleArrayList list) Fills all values contained in the receiver into the specified list.
void	AbstractIntDoubleMap.values(DoubleArrayList list) Fills all values contained in the receiver into the specified list.

Uses of DoubleArrayList in cern.colt.matrix

Methods in cern.colt.matrix that return DoubleArrayList

Modifier and Type	Method and Description
DoubleArrayList	DoubleFactory1D.toList(DoubleMatrix1D values) Constructs a list from the given matrix.

Methods in cern.colt.matrix with parameters of type DoubleArrayList

Modifier and Type	Method and Description
void	DoubleMatrix1D.getNonZeros(IntArrayList indexList, DoubleArrayList valueList) Fills the coordinates and values of cells having non-zero values into the specified lists.
void	DoubleMatrix1D.getNonZeros(IntArrayList indexList, DoubleArrayList valueList, int maxCardinality) Fills the coordinates and values of cells having non-zero values into the specified lists.
void	DoubleMatrix2D.getNonZeros(IntArrayList rowList, IntArrayList columnList, DoubleArrayList valueList) Fills the coordinates and values of cells having non-zero values into the specified lists.
void	DoubleMatrix3D.getNonZeros(IntArrayList sliceList, IntArrayList rowList, IntArrayList columnList, DoubleArrayList valueList) Fills the coordinates and values of cells having non-zero values into the specified lists.

Uses of DoubleArrayList in cern.colt.matrix.impl

Fields in cern.colt.matrix.impl declared as DoubleArrayList

Modifier and Type	Field and Description
protected DoubleArrayList	RCDoubleMatrix2D.values

Uses of DoubleArrayList in cern.jet.stat

Methods in cern.jet.stat that return DoubleArrayList

Modifier and Type	Method and Description
static DoubleArrayList	Descriptive.quantiles(DoubleArrayList sortedData, DoubleArrayList percentages) Returns the quantiles of the specified percentages.
static DoubleArrayList[]	Descriptive.split(DoubleArrayList sortedList, DoubleArrayList splitters) Splits (partitions) a list into sublists such that each sublist contains the elements with a given range.

Methods in cern.jet.stat with parameters of type DoubleArrayList

Modifier and Type	Method and Description
static double	Descriptive.autoCorrelation(DoubleArrayList data, int lag, double mean, double variance) Returns the auto-correlation of a data sequence.
static double	Descriptive.correlation(DoubleArrayList data1, double standardDev1, DoubleArrayList data2, double standardDev2) Returns the correlation of two data sequences.
static double	Descriptive.covariance(DoubleArrayList data1, DoubleArrayList data2) Returns the covariance of two data sequences, which is cov(x,y) = (1/(size()-1)) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
static double	Descriptive.durbinWatson(DoubleArrayList data) Durbin-Watson computation.
static void	Descriptive.frequencies(DoubleArrayList sortedData, DoubleArrayList distinctValues, IntArrayList frequencies) Computes the frequency (number of occurances, count) of each distinct value in the given sorted data.
static double	Descriptive.geometricMean(DoubleArrayList data) Returns the geometric mean of a data sequence.
static void	Descriptive.incrementalUpdate(DoubleArrayList data, int from, int to, double[] inOut) Incrementally maintains and updates minimum, maximum, sum and sum of squares of a data sequence.
static void	Descriptive.incrementalUpdateSumsOfPowers(DoubleArrayList data, int from, int to, int fromSumIndex, int toSumIndex, double[] sumOfPowers) Incrementally maintains and updates various sums of powers of the form Sum(data[i]k).
static void	Descriptive.incrementalWeightedUpdate(DoubleArrayList data, DoubleArrayList weights, int from, int to, double[] inOut) Incrementally maintains and updates sum and sum of squares of a weighted data sequence.
static double	Descriptive.kurtosis(DoubleArrayList data, double mean, double standardDeviation) Returns the kurtosis (aka excess) of a data sequence, which is -3 + moment(data,4,mean) / standardDeviation4.
static double	Descriptive.lag1(DoubleArrayList data, double mean) Returns the lag-1 autocorrelation of a dataset; Note that this method has semantics different from autoCorrelation(..., 1);
static double	Descriptive.max(DoubleArrayList data) Returns the largest member of a data sequence.
static double	Descriptive.mean(DoubleArrayList data) Returns the arithmetic mean of a data sequence; That is Sum( data[i] ) / data.size().
static double	Descriptive.meanDeviation(DoubleArrayList data, double mean) Returns the mean deviation of a dataset.
static double	Descriptive.median(DoubleArrayList sortedData) Returns the median of a sorted data sequence.
static double	Descriptive.min(DoubleArrayList data) Returns the smallest member of a data sequence.
static double	Descriptive.moment(DoubleArrayList data, int k, double c) Returns the moment of k-th order with constant c of a data sequence, which is Sum( (data[i]-c)k ) / data.size().
static double	Descriptive.product(DoubleArrayList data) Returns the product of a data sequence, which is Prod( data[i] ).
static double	Descriptive.quantile(DoubleArrayList sortedData, double phi) Returns the phi-quantile; that is, an element elem for which holds that phi percent of data elements are less than elem.
static double	Descriptive.quantileInverse(DoubleArrayList sortedList, double element) Returns how many percent of the elements contained in the receiver are <= element.
static DoubleArrayList	Descriptive.quantiles(DoubleArrayList sortedData, DoubleArrayList percentages) Returns the quantiles of the specified percentages.
static double	Descriptive.rankInterpolated(DoubleArrayList sortedList, double element) Returns the linearly interpolated number of elements in a list less or equal to a given element.
static double	Descriptive.sampleKurtosis(DoubleArrayList data, double mean, double sampleVariance) Returns the sample kurtosis (aka excess) of a data sequence.
static double	Descriptive.sampleSkew(DoubleArrayList data, double mean, double sampleVariance) Returns the sample skew of a data sequence.
static double	Descriptive.sampleVariance(DoubleArrayList data, double mean) Returns the sample variance of a data sequence.
static double	Descriptive.skew(DoubleArrayList data, double mean, double standardDeviation) Returns the skew of a data sequence, which is moment(data,3,mean) / standardDeviation3.
static DoubleArrayList[]	Descriptive.split(DoubleArrayList sortedList, DoubleArrayList splitters) Splits (partitions) a list into sublists such that each sublist contains the elements with a given range.
static void	Descriptive.standardize(DoubleArrayList data, double mean, double standardDeviation) Modifies a data sequence to be standardized.
static double	Descriptive.sum(DoubleArrayList data) Returns the sum of a data sequence.
static double	Descriptive.sumOfInversions(DoubleArrayList data, int from, int to) Returns the sum of inversions of a data sequence, which is Sum( 1.0 / data[i]).
static double	Descriptive.sumOfLogarithms(DoubleArrayList data, int from, int to) Returns the sum of logarithms of a data sequence, which is Sum( Log(data[i]).
static double	Descriptive.sumOfPowerDeviations(DoubleArrayList data, int k, double c) Returns Sum( (data[i]-c)k ); optimized for common parameters like c == 0.0 and/or k == -2 ..
static double	Descriptive.sumOfPowerDeviations(DoubleArrayList data, int k, double c, int from, int to) Returns Sum( (data[i]-c)k ) for all i = from ..
static double	Descriptive.sumOfPowers(DoubleArrayList data, int k) Returns the sum of powers of a data sequence, which is Sum ( data[i]k ).
static double	Descriptive.sumOfSquares(DoubleArrayList data) Returns the sum of squares of a data sequence.
static double	Descriptive.trimmedMean(DoubleArrayList sortedData, double mean, int left, int right) Returns the trimmed mean of a sorted data sequence.
static double	Descriptive.weightedMean(DoubleArrayList data, DoubleArrayList weights) Returns the weighted mean of a data sequence.
static double	Descriptive.winsorizedMean(DoubleArrayList sortedData, double mean, int left, int right) Returns the winsorized mean of a sorted data sequence.

Uses of DoubleArrayList in cern.jet.stat.quantile

Methods in cern.jet.stat.quantile that return DoubleArrayList

Modifier and Type	Method and Description
static DoubleArrayList	QuantileFinderFactory.newEquiDepthPhis(int quantiles) Convenience method that computes phi's for equi-depth histograms.
DoubleArrayList	DoubleQuantileFinder.quantileElements(DoubleArrayList phis) Computes the specified quantile elements over the values previously added.

Methods in cern.jet.stat.quantile with parameters of type DoubleArrayList

Modifier and Type	Method and Description
void	DoubleQuantileFinder.addAllOf(DoubleArrayList values) Adds all values of the specified list to the receiver.
void	DoubleQuantileFinder.addAllOfFromTo(DoubleArrayList values, int from, int to) Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
DoubleArrayList	DoubleQuantileFinder.quantileElements(DoubleArrayList phis) Computes the specified quantile elements over the values previously added.