Package | Description |
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org.apache.commons.math.analysis.interpolation |
Univariate real functions interpolation algorithms.
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org.apache.commons.math.random |
Random number and random data generators.
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org.apache.commons.math.stat.descriptive |
Generic univariate summary statistic objects.
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org.apache.commons.math.stat.descriptive.moment |
Summary statistics based on moments.
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Constructor and Description |
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BicubicSplineInterpolatingFunction(double[] x,
double[] y,
double[][] f,
double[][] dFdX,
double[][] dFdY,
double[][] d2FdXdY) |
MicrosphereInterpolatingFunction(double[][] xval,
double[] yval,
int brightnessExponent,
int microsphereElements,
UnitSphereRandomVectorGenerator rand) |
Constructor and Description |
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CorrelatedRandomVectorGenerator(double[] mean,
RealMatrix covariance,
double small,
NormalizedRandomGenerator generator)
Simple constructor.
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Modifier and Type | Method and Description |
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void |
MultivariateSummaryStatistics.addValue(double[] value)
Add an n-tuple to the data
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void |
SynchronizedMultivariateSummaryStatistics.addValue(double[] value)
Add an n-tuple to the data
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void |
MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean.
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void |
SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean.
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void |
MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum.
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void |
SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum.
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void |
MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean.
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void |
SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean.
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void |
MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum.
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void |
SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum.
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void |
MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum.
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void |
SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum.
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void |
MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
Sets the implementation for the sum of logs.
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void |
SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
Sets the implementation for the sum of logs.
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void |
MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares.
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void |
SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares.
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Modifier and Type | Method and Description |
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void |
VectorialMean.increment(double[] v)
Add a new vector to the sample.
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void |
VectorialCovariance.increment(double[] v)
Add a new vector to the sample.
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