Uses of Class
org.apache.commons.math.DimensionMismatchException
Packages that use DimensionMismatchException
Package
Description
Univariate real functions interpolation algorithms.
Random number and random data generators.
Generic univariate summary statistic objects.
Summary statistics based on moments.
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Uses of DimensionMismatchException in org.apache.commons.math.analysis.interpolation
Constructors in org.apache.commons.math.analysis.interpolation that throw DimensionMismatchExceptionModifierConstructorDescriptionBicubicSplineInterpolatingFunction
(double[] x, double[] y, double[][] f, double[][] dFdX, double[][] dFdY, double[][] d2FdXdY) MicrosphereInterpolatingFunction
(double[][] xval, double[] yval, int brightnessExponent, int microsphereElements, UnitSphereRandomVectorGenerator rand) -
Uses of DimensionMismatchException in org.apache.commons.math.random
Constructors in org.apache.commons.math.random that throw DimensionMismatchExceptionModifierConstructorDescriptionCorrelatedRandomVectorGenerator
(double[] mean, RealMatrix covariance, double small, NormalizedRandomGenerator generator) Simple constructor. -
Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive
Methods in org.apache.commons.math.stat.descriptive that throw DimensionMismatchExceptionModifier and TypeMethodDescriptionvoid
MultivariateSummaryStatistics.addValue
(double[] value) Add an n-tuple to the datavoid
SynchronizedMultivariateSummaryStatistics.addValue
(double[] value) Add an n-tuple to the datavoid
MultivariateSummaryStatistics.setGeoMeanImpl
(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.void
SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl
(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.void
MultivariateSummaryStatistics.setMaxImpl
(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.void
SynchronizedMultivariateSummaryStatistics.setMaxImpl
(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.void
MultivariateSummaryStatistics.setMeanImpl
(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.void
SynchronizedMultivariateSummaryStatistics.setMeanImpl
(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.void
MultivariateSummaryStatistics.setMinImpl
(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.void
SynchronizedMultivariateSummaryStatistics.setMinImpl
(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.void
MultivariateSummaryStatistics.setSumImpl
(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.void
SynchronizedMultivariateSummaryStatistics.setSumImpl
(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.void
MultivariateSummaryStatistics.setSumLogImpl
(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.void
SynchronizedMultivariateSummaryStatistics.setSumLogImpl
(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.void
MultivariateSummaryStatistics.setSumsqImpl
(StorelessUnivariateStatistic[] sumsqImpl) Sets the implementation for the sum of squares.void
SynchronizedMultivariateSummaryStatistics.setSumsqImpl
(StorelessUnivariateStatistic[] sumsqImpl) Sets the implementation for the sum of squares. -
Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive.moment
Methods in org.apache.commons.math.stat.descriptive.moment that throw DimensionMismatchException