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

Packages that use DimensionMismatchException
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.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 SynchronizedMultivariateSummaryStatistics.addValue(double[] value)
          Add an n-tuple to the data
 void MultivariateSummaryStatistics.addValue(double[] value)
          Add an n-tuple to the data
 void SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
 void MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
 void SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
          Sets the implementation for the sum of squares.
 void MultivariateSummaryStatistics.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 VectorialMean.increment(double[] v)
          Add a new vector to the sample.
 void VectorialCovariance.increment(double[] v)
          Add a new vector to the sample.
 



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