Uses of Class
com.irurueta.statistics.InvalidCovarianceMatrixException

Packages that use InvalidCovarianceMatrixException

Package	Description
com.irurueta.statistics

Uses of InvalidCovarianceMatrixException in com.irurueta.statistics

Methods in com.irurueta.statistics that throw InvalidCovarianceMatrixException

Modifier and Type	Method	Description
static MultivariateNormalDist	MultivariateNormalDist.propagate(MultivariateNormalDist.JacobianEvaluator evaluator, double[] mean, Matrix covariance)	Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
static void	MultivariateNormalDist.propagate(MultivariateNormalDist.JacobianEvaluator evaluator, double[] mean, Matrix covariance, MultivariateNormalDist result)	Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
void	MultivariateNormalDist.setCovariance(Matrix cov)	Sets covariance of this multivariate Gaussian distribution.
void	MultivariateNormalDist.setCovariance(Matrix cov, boolean validateSymmetricPositiveDefinite)	Sets covariance of this multivariate Gaussian distribution.
final void	MultivariateGaussianRandomizer.setMeanAndCovariance(double[] mean, Matrix covariance)	Sets mean and covariance to generate multivariate Gaussian random values.
final void	MultivariateNormalDist.setMeanAndCovariance(double[] mu, Matrix cov)	Sets mean and covariance of this multivariate Gaussian distribution.
final void	MultivariateNormalDist.setMeanAndCovariance(double[] mu, Matrix cov, boolean validateSymmetricPositiveDefinite)	Sets mean and covariance of this multivariate Gaussian distribution.

Constructors in com.irurueta.statistics that throw InvalidCovarianceMatrixException

Modifier	Constructor	Description
	MultivariateGaussianRandomizer(double[] mean, Matrix covariance)	Constructor.
	MultivariateGaussianRandomizer(Random internalRandom, double[] mean, Matrix covariance)	Constructor.
	MultivariateNormalDist(double[] mean, Matrix covariance)	Constructor.
	MultivariateNormalDist(double[] mean, Matrix covariance, boolean validateSymmetricPositiveDefinite)	Constructor.