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## Uses of Class
org.apache.commons.math.DimensionMismatchException

Packages that use DimensionMismatchException
org.apache.commons.math.analysis.interpolation | Univariate real functions interpolation algorithms.
org.apache.commons.math.random | Random number and random data generators.
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects.
org.apache.commons.math.stat.descriptive.moment | Summary statistics based on moments.

Uses of DimensionMismatchException in org.apache.commons.math.analysis.interpolation

Constructors in org.apache.commons.math.analysis.interpolation that throw DimensionMismatchException
`BicubicSplineInterpolatingFunction(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 DimensionMismatchException
`CorrelatedRandomVectorGenerator(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 DimensionMismatchException
`void` | `MultivariateSummaryStatistics.addValue(double[] value)` Add an n-tuple to the data
`void` | `SynchronizedMultivariateSummaryStatistics.addValue(double[] value)` Add an n-tuple to the data
`void` | `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
`void` | `VectorialCovariance.increment(double[] v)` Add a new vector to the sample.
`void` | `VectorialMean.increment(double[] v)` Add a new vector to the sample.

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