Uses of Class
org.apache.commons.math4.exception.MathIllegalStateException

Packages that use MathIllegalStateException

Package	Description
org.apache.commons.math4.exception	Specialized exceptions for algorithms errors.
org.apache.commons.math4.fraction	Fraction number type and fraction number formatting.
org.apache.commons.math4.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math4.stat.descriptive.moment	Summary statistics based on moments.
org.apache.commons.math4.util	Convenience routines and common data structures used throughout the commons-math library.

Uses of MathIllegalStateException in org.apache.commons.math4.exception

Subclasses of MathIllegalStateException in org.apache.commons.math4.exception

Modifier and Type	Class	Description
class	ConvergenceException	Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
class	MathInternalError	Exception triggered when something that shouldn't happen does happen.
class	MathParseException	Class to signal parse failures.
class	MaxCountExceededException	Exception to be thrown when some counter maximum value is exceeded.
class	TooManyEvaluationsException	Exception to be thrown when the maximal number of evaluations is exceeded.
class	TooManyIterationsException	Exception to be thrown when the maximal number of iterations is exceeded.

Uses of MathIllegalStateException in org.apache.commons.math4.fraction

Subclasses of MathIllegalStateException in org.apache.commons.math4.fraction

Modifier and Type	Class	Description
class	FractionConversionException	Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.

Uses of MathIllegalStateException in org.apache.commons.math4.stat.descriptive

Methods in org.apache.commons.math4.stat.descriptive that throw MathIllegalStateException

Modifier and Type	Method	Description
double	DescriptiveStatistics.getPercentile(double p)	Returns an estimate for the pth percentile of the stored values.
void	DescriptiveStatistics.removeMostRecentValue()	Removes the most recent value from the dataset.
double	DescriptiveStatistics.replaceMostRecentValue(double v)	Replaces the most recently stored value with the given value.
void	MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)	Sets the implementation for the geometric mean.
void	SummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)	Sets the implementation for the geometric mean.
void	SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)	Sets the implementation for the geometric mean.
void	SynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)	Sets the implementation for the geometric mean.
void	MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)	Sets the implementation for the maximum.
void	SummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)	Sets the implementation for the maximum.
void	SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)	Sets the implementation for the maximum.
void	SynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)	Sets the implementation for the maximum.
void	MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)	Sets the implementation for the mean.
void	SummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)	Sets the implementation for the mean.
void	SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)	Sets the implementation for the mean.
void	SynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)	Sets the implementation for the mean.
void	MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)	Sets the implementation for the minimum.
void	SummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)	Sets the implementation for the minimum.
void	SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)	Sets the implementation for the minimum.
void	SynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)	Sets the implementation for the minimum.
void	MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)	Sets the implementation for the Sum.
void	SummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)	Sets the implementation for the Sum.
void	SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)	Sets the implementation for the Sum.
void	SynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)	Sets the implementation for the Sum.
void	MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)	Sets the implementation for the sum of logs.
void	SummaryStatistics.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	SynchronizedSummaryStatistics.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	SummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)	Sets the implementation for the sum of squares.
void	SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)	Sets the implementation for the sum of squares.
void	SynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)	Sets the implementation for the sum of squares.
void	SummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)	Sets the implementation for the variance.
void	SynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)	Sets the implementation for the variance.

Uses of MathIllegalStateException in org.apache.commons.math4.stat.descriptive.moment

Methods in org.apache.commons.math4.stat.descriptive.moment that throw MathIllegalStateException

Modifier and Type	Method	Description
void	GeometricMean.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)	Sets the implementation for the sum of logs.

Uses of MathIllegalStateException in org.apache.commons.math4.util

Methods in org.apache.commons.math4.util that throw MathIllegalStateException

Modifier and Type	Method	Description
double	ResizableDoubleArray.substituteMostRecentElement(double value)	Substitutes value for the most recently added value.