Uses of Class
org.apache.commons.math3.linear.SingularMatrixException

Packages that use SingularMatrixException
org.apache.commons.math3.distribution Implementations of common discrete and continuous distributions. 
org.apache.commons.math3.distribution.fitting Fitting of parameters against distributions. 
org.apache.commons.math3.filter Implementations of common discrete-time linear filters. 
 

Uses of SingularMatrixException in org.apache.commons.math3.distribution
 

Constructors in org.apache.commons.math3.distribution that throw SingularMatrixException
MultivariateNormalDistribution(double[] means, double[][] covariances)
          Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistribution(RandomGenerator rng, double[] means, double[][] covariances)
          Creates a multivariate normal distribution with the given mean vector and covariance matrix.
 

Uses of SingularMatrixException in org.apache.commons.math3.distribution.fitting
 

Methods in org.apache.commons.math3.distribution.fitting that throw SingularMatrixException
 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.math3.filter
 

Methods in org.apache.commons.math3.filter that throw SingularMatrixException
 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.
 



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