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