Uses of Class
org.apache.commons.math4.legacy.linear.SingularMatrixException

Packages that use SingularMatrixException

Package	Description
org.apache.commons.math4.legacy.distribution	Implementations of probability distributions.
org.apache.commons.math4.legacy.distribution.fitting	Fitting of parameters against distributions.
org.apache.commons.math4.legacy.filter	Implementations of common discrete-time linear filters.
org.apache.commons.math4.legacy.linear	Linear algebra support.

Uses of SingularMatrixException in org.apache.commons.math4.legacy.distribution

Constructors in org.apache.commons.math4.legacy.distribution that throw SingularMatrixException

Constructor	Description
MultivariateNormalDistribution(double[] means, double[][] covariances)	Creates a multivariate normal distribution with the given mean vector and covariance matrix.

Uses of SingularMatrixException in org.apache.commons.math4.legacy.distribution.fitting

Methods in org.apache.commons.math4.legacy.distribution.fitting that throw SingularMatrixException

Modifier and Type	Method	Description
void	MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution initialMixture)	Fit a mixture model to the data supplied to the constructor.
void	MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution initialMixture, int maxIterations, double threshold)	Fit a mixture model to the data supplied to the constructor.

Uses of SingularMatrixException in org.apache.commons.math4.legacy.filter

Methods in org.apache.commons.math4.legacy.filter that throw SingularMatrixException

Modifier and Type	Method	Description
void	KalmanFilter.correct(double[] z)	Correct the current state estimate with an actual measurement.
void	KalmanFilter.correct(RealVector z)	Correct the current state estimate with an actual measurement.

Uses of SingularMatrixException in org.apache.commons.math4.legacy.linear

Methods in org.apache.commons.math4.legacy.linear that throw SingularMatrixException

Modifier and Type	Method	Description
RealMatrix	DecompositionSolver.getInverse()	Get the pseudo-inverse of the decomposed matrix.
DiagonalMatrix	DiagonalMatrix.inverse()	Computes the inverse of this diagonal matrix.
DiagonalMatrix	DiagonalMatrix.inverse(double threshold)	Computes the inverse of this diagonal matrix.
static RealMatrix	MatrixUtils.inverse(RealMatrix matrix)	Computes the inverse of the given matrix.
static RealMatrix	MatrixUtils.inverse(RealMatrix matrix, double threshold)	Computes the inverse of the given matrix.
RealMatrix	DecompositionSolver.solve(RealMatrix b)	Solve the linear equation A × X = B for matrices A.
RealVector	DecompositionSolver.solve(RealVector b)	Solve the linear equation A × X = B for matrices A.