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 TypeMethodDescriptionvoidMultivariateSummaryStatistics.addValue(double[] value) Add an n-tuple to the datavoidSynchronizedMultivariateSummaryStatistics.addValue(double[] value) Add an n-tuple to the datavoidMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.voidSynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.voidMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.voidSynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.voidMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.voidSynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.voidMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.voidSynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.voidMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.voidSynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.voidMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.voidSynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.voidMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl) Sets the implementation for the sum of squares.voidSynchronizedMultivariateSummaryStatistics.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