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)
           
 void MultivariateSummaryStatistics.addValue(double[] value)
          Add an n-tuple to the data
private  void MultivariateSummaryStatistics.checkDimension(int dimension)
          Throws DimensionMismatchException if dimension != k.
 void SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
           
 void MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
private  void MultivariateSummaryStatistics.setImpl(StorelessUnivariateStatistic[] newImpl, StorelessUnivariateStatistic[] oldImpl)
          Sets statistics implementations.
 void SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
           
 void MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
           
 void MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
           
 void MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
           
 void MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
           
 void MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
           
 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 VectorialCovariance.increment(double[] v)
          Add a new vector to the sample.
 void VectorialMean.increment(double[] v)
          Add a new vector to the sample.