Uses of Class
com.imsl.math.SingularMatrixException

Packages that use SingularMatrixException

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.math	Mathematical functions and algorithms.
com.imsl.stat	Statistical methods.
com.imsl.stat.distributions	Probability distributions and parameter estimation.
com.imsl.test.example.math	Math examples.

Uses of SingularMatrixException in com.imsl.datamining

Methods in com.imsl.datamining that throw SingularMatrixException

Modifier and Type	Method	Description
void	LogisticRegressionModelObject.aggregateModels(LogisticRegressionModelObject lrm)	Aggregates or combines a different model object to this logistic regression model object.

Uses of SingularMatrixException in com.imsl.math

Methods in com.imsl.math that throw SingularMatrixException

Modifier and Type	Method	Description
void	FeynmanKac.computeCoefficients(int numLeftBounds, int numRightBounds, FeynmanKac.Boundaries pdeBounds, double[] xGrid, double[] tGrid)	Determines the coefficients of the Hermite quintic splines that represent an approximate solution for the Feynman-Kac PDE.
double	ComplexSuperLU.getConditionNumber()	Returns the estimate of the reciprocal condition number of the matrix A.
double	SuperLU.getConditionNumber()	Returns the estimate of the reciprocal condition number of the matrix A.
double	ComplexSuperLU.getReciprocalPivotGrowthFactor()	Returns the reciprocal pivot growth factor.
double	SuperLU.getReciprocalPivotGrowthFactor()	Returns the reciprocal pivot growth factor.
static Complex[]	ComplexLU.solve(Complex[][] a, Complex[] b)	Solve Ax = b for x using the LU factorization of A.
Complex[]	ComplexSuperLU.solve(Complex[] b)	Computation of the solution vector for the system \( Ax = b\).
double[]	ConjugateGradient.solve(double[] b)	Solves a real symmetric positive or negative definite system \(Ax=b\) using a conjugate gradient method with or without preconditioning.
double[]	GenMinRes.solve(double[] b)	Generate an approximate solution to \(Ax=b\) using the Generalized Residual Method.
final void	LinearProgramming.solve()	Deprecated. Solves the program using the revised simplex algorithm.
static double[]	LU.solve(double[][] a, double[] b)	Solve Ax = b for x using the LU factorization of A.
double[]	QR.solve(double[] b)	Returns the solution to the least-squares problem Ax = b.
double[]	QR.solve(double[] b, double tol)	Returns the solution to the least-squares problem Ax = b using an input tolerance.
double[]	SuperLU.solve(double[] b)	Computation of the solution vector for the system \( Ax = b\).
Complex[]	ComplexSuperLU.solveConjugateTranspose(Complex[] b)	Computation of the solution vector for the system \( A^Hx = b\).
Complex[]	ComplexSuperLU.solveTranspose(Complex[] b)	Computation of the solution vector for the system \( A^Tx = b\).
double[]	SuperLU.solveTranspose(double[] b)	Computation of the solution vector for the system \( A^Tx = b\).

Constructors in com.imsl.math that throw SingularMatrixException

Modifier	Constructor	Description
	Cholesky(double[][] a)	Create the Cholesky factorization of a symmetric positive definite matrix of type double.
	ComplexLU(Complex[][] a)	Creates the LU factorization of a square matrix of type Complex.
	CsShape(double[] xData, double[] yData)	Construct a cubic spline interpolant which is consistent with the concavity of the data.
	LU(double[][] a)	Creates the LU factorization of a square matrix of type double.

Uses of SingularMatrixException in com.imsl.stat

Methods in com.imsl.stat that throw SingularMatrixException

Modifier and Type	Method	Description
final void	ARMAOutlierIdentification.compute(int[] model)	Detects and determines outliers and simultaneously estimates the model parameters for the given time series.
final void	AutoARIMA.compute(int maxlag)	Estimates potential missing values, detects and determines outliers and simultaneously fits an optimum model from a set of different \( \text{ARIMA}(p,0,0)\times(0,d,0)_s\) models to the outlier free time series.
final void	AutoARIMA.compute(int[] arOrders, int[] maOrders)	Estimates potential missing values, detects and determines outliers and simultaneously fits an optimum model from a set of different \( \text{ARIMA}(p,0,q)\times(0,d,0)_s\) models to the outlier free time series.
final void	AutoARIMA.compute(int p, int q, int s, int d)	Estimates potential missing values, detects and determines outliers and simultaneously fits an \(\text{ARIMA}(p,0,q)\times(0,d,0)_s \) model to the outlier free time series.
double[][]	FactorAnalysis.getFactorScoreCoefficients(FactorAnalysis.ScoreMethod method)	Computes the matrix of factor score coefficients.

Uses of SingularMatrixException in com.imsl.stat.distributions

Methods in com.imsl.stat.distributions that throw SingularMatrixException

Modifier and Type	Method	Description
double[]	MaximumLikelihoodEstimation.getStandardErrors()	Returns the approximate standard errors of the maximum likelihood estimates.
double[][]	MaximumLikelihoodEstimation.getVarCov()	Returns the approximate variance-covariance matrix of the maximum likelihood estimates.

Uses of SingularMatrixException in com.imsl.test.example.math

Methods in com.imsl.test.example.math that throw SingularMatrixException

Modifier and Type	Method	Description
static void	ComplexEx1.main(String[] args)
static void	ComplexLUEx1.main(String[] args)
static void	LUEx1.main(String[] args)
static void	QREx1.main(String[] args)