Uses of Class
com.irurueta.algebra.RankDeficientMatrixException

Packages that use RankDeficientMatrixException

Package	Description
com.irurueta.algebra	This package contains classes related to algebra, such as Matrix class to contains matrices data and simple operations or Complex to handle computations with Complex numbers.
com.irurueta.statistics

Uses of RankDeficientMatrixException in com.irurueta.algebra

Methods in com.irurueta.algebra that throw RankDeficientMatrixException

Modifier and Type	Method	Description
static Matrix	Utils.inverse(double[] array)	Computes array pseudo-inverse considering it as a column matrix.
static void	Utils.inverse(double[] array, Matrix result)	Computes array pseudo-inverse considering it as a column matrix and stores the result in provided result matrix.
static Matrix	Utils.inverse(Matrix m)	Computes matrix inverse if provided matrix is squared, or pseudo-inverse otherwise.
static void	Utils.inverse(Matrix m, Matrix result)	Computes matrix inverse if provided matrix is squared, or pseudo-inverse otherwise and stores the result in provided result matrix.
static void	Utils.schurc(Matrix m, int pos, boolean fromStart, boolean sqrt, Matrix result, Matrix iA)	Computes the Schur complement of a symmetric matrix.
static void	Utils.schurc(Matrix m, int pos, boolean fromStart, Matrix result, Matrix iA)	Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
static void	Utils.schurc(Matrix m, int pos, Matrix result, Matrix iA)	Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
static Matrix	Utils.schurcAndReturnNew(Matrix m, int pos, boolean fromStart, boolean sqrt, Matrix iA)	Computes the Schur complement of a symmetric matrix.
static Matrix	Utils.schurcAndReturnNew(Matrix m, int pos, boolean fromStart, Matrix iA)	Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
static Matrix	Utils.schurcAndReturnNew(Matrix m, int pos, Matrix iA)	Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
Matrix	EconomyQRDecomposer.solve(Matrix b)	Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
Matrix	EconomyQRDecomposer.solve(Matrix b, double roundingError)	Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
void	EconomyQRDecomposer.solve(Matrix b, double roundingError, Matrix result)	Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
void	EconomyQRDecomposer.solve(Matrix b, Matrix result)	Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
Matrix	QRDecomposer.solve(Matrix b)	Solves a linear system of equations of the following form: A * X = B.
Matrix	QRDecomposer.solve(Matrix b, double roundingError)	Solves a linear system of equations of the following form: A * X = B.
void	QRDecomposer.solve(Matrix b, double roundingError, Matrix result)	Solves a linear system of equations of the following form: A * X = B.
void	QRDecomposer.solve(Matrix b, Matrix result)	Solves a linear system of equations of the following form: A * X = B.
static Matrix	Utils.solve(Matrix m, Matrix b)	Solves a linear system of equations of the form: m * x = b.
static void	Utils.solve(Matrix m, Matrix b, Matrix result)	Solves a linear system of equations of the form: m * x = b.

Uses of RankDeficientMatrixException in com.irurueta.statistics

Methods in com.irurueta.statistics that throw RankDeficientMatrixException

Modifier and Type	Method	Description
double	MultivariateNormalDist.mahalanobisDistance(double[] x)	Computes the Mahalanobis distance of provided multivariate pot x for current mean and covariance values.
double	MultivariateNormalDist.p(double[] x)	Evaluates the probability density function (p.d.f.) of a multivariate Gaussian distribution having current mean and covariance at point x.
double	MultivariateNormalDist.squaredMahalanobisDistance(double[] x)	Computes the squared Mahalanobis distance of provided multivariate pot x for current mean and covariance values.