Uses of Class
org.apache.commons.math4.legacy.exception.NumberIsTooLargeException

Packages that use NumberIsTooLargeException

Package	Description
org.apache.commons.math4.legacy.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math4.legacy.analysis.solvers	Root finding algorithms, for univariate real functions.
org.apache.commons.math4.legacy.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math4.legacy.genetics	This package provides Genetic Algorithms components and implementations.
org.apache.commons.math4.legacy.linear	Linear algebra support.
org.apache.commons.math4.legacy.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math4.legacy.stat.interval	Classes providing binomial proportion confidence interval construction.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.analysis.differentiation

Methods in org.apache.commons.math4.legacy.analysis.differentiation that throw NumberIsTooLargeException

Modifier and Type	Method	Description
static DSCompiler	DSCompiler.getCompiler(int parameters, int order)	Get the compiler for number of free parameters and order.
int	DSCompiler.getPartialDerivativeIndex(int... orders)	Get the index of a partial derivative in the array.

Constructors in org.apache.commons.math4.legacy.analysis.differentiation that throw NumberIsTooLargeException

Constructor	Description
FiniteDifferencesDifferentiator(int nbPoints, double stepSize, double tLower, double tUpper)	Build a differentiator with number of points and step size when independent variable is bounded.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.analysis.solvers

Methods in org.apache.commons.math4.legacy.analysis.solvers that throw NumberIsTooLargeException

Modifier and Type	Method	Description
protected double	BracketingNthOrderBrentSolver.doSolve()	Method for implementing actual optimization algorithms in derived classes.
double	LaguerreSolver.doSolve()	Method for implementing actual optimization algorithms in derived classes.
protected double	MullerSolver.doSolve()	Method for implementing actual optimization algorithms in derived classes.
protected double	MullerSolver2.doSolve()	Method for implementing actual optimization algorithms in derived classes.
double	BracketingNthOrderBrentSolver.solve(int maxEval, UnivariateFunction f, double min, double max, double startValue, AllowedSolution allowedSolution)	Solve for a zero in the given interval, start at startValue.
double	BracketingNthOrderBrentSolver.solve(int maxEval, UnivariateFunction f, double min, double max, AllowedSolution allowedSolution)	Solve for a zero in the given interval.
static void	UnivariateSolverUtils.verifyInterval(double lower, double upper)	Check that the endpoints specify an interval.
static void	UnivariateSolverUtils.verifySequence(double lower, double initial, double upper)	Check that lower < initial < upper.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.distribution

Methods in org.apache.commons.math4.legacy.distribution that throw NumberIsTooLargeException

Modifier and Type	Method	Description
double	AbstractIntegerDistribution.probability(int x0, int x1)	The default implementation uses the identity

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.genetics

Methods in org.apache.commons.math4.legacy.genetics that throw NumberIsTooLargeException

Modifier and Type	Method	Description
void	ListPopulation.addChromosome(Chromosome chromosome)	Add the given chromosome to the population.
void	Population.addChromosome(Chromosome chromosome)	Add the given chromosome to the population.
void	ListPopulation.addChromosomes(Collection<Chromosome> chromosomeColl)	Add a Collection of chromosomes to this Population.

Constructors in org.apache.commons.math4.legacy.genetics that throw NumberIsTooLargeException

Constructor	Description
ElitisticListPopulation(List<Chromosome> chromosomes, int populationLimit, double elitismRate)	Creates a new ElitisticListPopulation instance.
ListPopulation(List<Chromosome> chromosomes, int populationLimit)	Creates a new ListPopulation instance.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.linear

Methods in org.apache.commons.math4.legacy.linear that throw NumberIsTooLargeException

Modifier and Type	Method	Description
void	DiagonalMatrix.addToEntry(int row, int column, double increment)	Adds (in place) the specified value to the specified entry of this matrix.
OpenMapRealMatrix	OpenMapRealMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
OpenMapRealMatrix	OpenMapRealMatrix.multiply(OpenMapRealMatrix m)	Postmultiply this matrix by m.
RealMatrix	OpenMapRealMatrix.multiply(RealMatrix m)	Returns the result of postmultiplying this by m.
void	DiagonalMatrix.setEntry(int row, int column, double value)	Set the entry in the specified row and column.

Constructors in org.apache.commons.math4.legacy.linear that throw NumberIsTooLargeException

Constructor	Description
ArrayFieldVector(Field<T> field, T[] d, int pos, int size)	Construct a vector from part of a array.
ArrayFieldVector(T[] d, int pos, int size)	Construct a vector from part of a array.
ArrayRealVector(double[] d, int pos, int size)	Construct a vector from part of a array.
ArrayRealVector(Double[] d, int pos, int size)	Construct a vector from part of an array.
OpenMapRealMatrix(int rowDimension, int columnDimension)	Build a sparse matrix with the supplied row and column dimensions.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.stat.inference

Methods in org.apache.commons.math4.legacy.stat.inference that throw NumberIsTooLargeException

Modifier and Type	Method	Description
double	WilcoxonSignedRankTest.wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)	Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.

Uses of NumberIsTooLargeException in org.apache.commons.math4.legacy.stat.interval

Methods in org.apache.commons.math4.legacy.stat.interval that throw NumberIsTooLargeException

Modifier and Type	Method	Description
ConfidenceInterval	BinomialConfidenceInterval.createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)	Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.