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## Uses of Class
org.apache.commons.math3.exception.NoDataException

Packages that use NoDataException
org.apache.commons.math3.analysis.function | The `function` package contains function objects that wrap the methods contained in `Math`, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math3.analysis.interpolation | Univariate real functions interpolation algorithms.
org.apache.commons.math3.analysis.polynomials | Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math3.analysis.solvers | Root finding algorithms, for univariate real functions.
org.apache.commons.math3.complex | Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.filter | Implementations of common discrete-time linear filters.
org.apache.commons.math3.linear | Linear algebra support.
org.apache.commons.math3.stat | Data storage, manipulation and summary routines.
org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math3.stat.regression | Statistical routines involving multivariate data.

Uses of NoDataException in org.apache.commons.math3.analysis.function

Constructors in org.apache.commons.math3.analysis.function that throw NoDataException
`StepFunction(double[] x, double[] y)` Builds a step function from a list of arguments and the corresponding values.

Uses of NoDataException in org.apache.commons.math3.analysis.interpolation

Methods in org.apache.commons.math3.analysis.interpolation that throw NoDataException
`PolynomialFunction[]` | `HermiteInterpolator.getPolynomials()` Compute the interpolation polynomials.
`MultivariateFunction` | `MicrosphereInterpolator.interpolate(double[][] xval, double[] yval)` Computes an interpolating function for the data set.
`PolynomialSplineFunction` | `LoessInterpolator.interpolate(double[] xval, double[] yval)` Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a `SplineInterpolator` on the resulting fit.
`BicubicSplineInterpolatingFunction` | `SmoothingPolynomialBicubicSplineInterpolator.interpolate(double[] xval, double[] yval, double[][] fval)` Compute an interpolating function for the dataset.
`BicubicSplineInterpolatingFunction` | `BicubicSplineInterpolator.interpolate(double[] xval, double[] yval, double[][] fval)` Compute an interpolating function for the dataset.
`BivariateFunction` | `BivariateGridInterpolator.interpolate(double[] xval, double[] yval, double[][] fval)` Compute an interpolating function for the dataset.
`TricubicSplineInterpolatingFunction` | `TricubicSplineInterpolator.interpolate(double[] xval, double[] yval, double[] zval, double[][][] fval)` Compute an interpolating function for the dataset.
`TrivariateFunction` | `TrivariateGridInterpolator.interpolate(double[] xval, double[] yval, double[] zval, double[][][] fval)` Compute an interpolating function for the dataset.
`double[]` | `LoessInterpolator.smooth(double[] xval, double[] yval)` Compute a loess fit on the data at the original abscissae.
`double[]` | `LoessInterpolator.smooth(double[] xval, double[] yval, double[] weights)` Compute a weighted loess fit on the data at the original abscissae.
`DerivativeStructure[]` | `HermiteInterpolator.value(DerivativeStructure x)` Interpolate value at a specified abscissa.
`double[]` | `HermiteInterpolator.value(double x)` Interpolate value at a specified abscissa.

Constructors in org.apache.commons.math3.analysis.interpolation that throw NoDataException
`BicubicSplineInterpolatingFunction(double[] x, double[] y, double[][] f, double[][] dFdX, double[][] dFdY, double[][] d2FdXdY)`
`MicrosphereInterpolatingFunction(double[][] xval, double[] yval, int brightnessExponent, int microsphereElements, UnitSphereRandomVectorGenerator rand)`
`TricubicSplineInterpolatingFunction(double[] x, double[] y, double[] z, double[][][] f, double[][][] dFdX, double[][][] dFdY, double[][][] dFdZ, double[][][] d2FdXdY, double[][][] d2FdXdZ, double[][][] d2FdYdZ, double[][][] d3FdXdYdZ)`

Uses of NoDataException in org.apache.commons.math3.analysis.polynomials

Methods in org.apache.commons.math3.analysis.polynomials that throw NoDataException
`protected static double[]` | `PolynomialFunction.differentiate(double[] coefficients)` Returns the coefficients of the derivative of the polynomial with the given coefficients.
`protected static double` | `PolynomialFunction.evaluate(double[] coefficients, double argument)` Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
`DerivativeStructure` | `PolynomialFunction.value(DerivativeStructure t)` Simple mathematical function.

Constructors in org.apache.commons.math3.analysis.polynomials that throw NoDataException
`PolynomialFunction(double[] c)` Construct a polynomial with the given coefficients.

Uses of NoDataException in org.apache.commons.math3.analysis.solvers

Methods in org.apache.commons.math3.analysis.solvers that throw NoDataException
`Complex[]` | `LaguerreSolver.solveAllComplex(double[] coefficients, double initial)` Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
`Complex` | `LaguerreSolver.solveComplex(double[] coefficients, double initial)` Find a complex root for the polynomial with the given coefficients, starting from the given initial value.

Uses of NoDataException in org.apache.commons.math3.complex

Methods in org.apache.commons.math3.complex that throw NoDataException
`static ComplexFormat` | `ComplexFormat.getInstance(String imaginaryCharacter, Locale locale)` Returns the default complex format for the given locale.

Constructors in org.apache.commons.math3.complex that throw NoDataException
`ComplexFormat(String imaginaryCharacter)` Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
`ComplexFormat(String imaginaryCharacter, NumberFormat format)` Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
`ComplexFormat(String imaginaryCharacter, NumberFormat realFormat, NumberFormat imaginaryFormat)` Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.

Uses of NoDataException in org.apache.commons.math3.filter

Constructors in org.apache.commons.math3.filter that throw NoDataException
`DefaultMeasurementModel(double[][] measMatrix, double[][] measNoise)` Create a new `MeasurementModel`, taking double arrays as input parameters for the respective measurement matrix and noise.
`DefaultProcessModel(double[][] stateTransition, double[][] control, double[][] processNoise)` Create a new `ProcessModel`, taking double arrays as input parameters.
`DefaultProcessModel(double[][] stateTransition, double[][] control, double[][] processNoise, double[] initialStateEstimate, double[][] initialErrorCovariance)` Create a new `ProcessModel`, taking double arrays as input parameters.

Uses of NoDataException in org.apache.commons.math3.linear

Methods in org.apache.commons.math3.linear that throw NoDataException
`static void` | `MatrixUtils.checkSubMatrixIndex(AnyMatrix m, int[] selectedRows, int[] selectedColumns)` Check if submatrix ranges indices are valid.
`protected void` | `AbstractFieldMatrix.checkSubMatrixIndex(int[] selectedRows, int[] selectedColumns)` Check if submatrix ranges indices are valid.
`void` | `AbstractRealMatrix.copySubMatrix(int[] selectedRows, int[] selectedColumns, double[][] destination)` Copy a submatrix.
`void` | `RealMatrix.copySubMatrix(int[] selectedRows, int[] selectedColumns, double[][] destination)` Copy a submatrix.
`void` | `FieldMatrix.copySubMatrix(int[] selectedRows, int[] selectedColumns, T[][] destination)` Copy a submatrix.
`void` | `AbstractFieldMatrix.copySubMatrix(int[] selectedRows, int[] selectedColumns, T[][] destination)` Copy a submatrix.
`static
`<T extends FieldElement<T>> FieldMatrix<T>`
` | `MatrixUtils.createColumnFieldMatrix(T[] columnData)` Creates a column `FieldMatrix` using the data from the input array.
`static RealMatrix` | `MatrixUtils.createColumnRealMatrix(double[] columnData)` Creates a column `RealMatrix` using the data from the input array.
`static
`<T extends FieldElement<T>> FieldMatrix<T>`
` | `MatrixUtils.createFieldMatrix(T[][] data)` Returns a `FieldMatrix` whose entries are the the values in the the input array.
`static
`<T extends FieldElement<T>> FieldVector<T>`
` | `MatrixUtils.createFieldVector(T[] data)` Creates a `FieldVector` using the data from the input array.
`static RealMatrix` | `MatrixUtils.createRealMatrix(double[][] data)` Returns a `RealMatrix` whose entries are the the values in the the input array.
`static RealVector` | `MatrixUtils.createRealVector(double[] data)` Creates a `RealVector` using the data from the input array.
`static
`<T extends FieldElement<T>> FieldMatrix<T>`
` | `MatrixUtils.createRowFieldMatrix(T[] rowData)` Create a row `FieldMatrix` using the data from the input array.
`static RealMatrix` | `MatrixUtils.createRowRealMatrix(double[] rowData)` Create a row `RealMatrix` using the data from the input array.
`protected static
`<T extends FieldElement<T>> Field<T>`
` | `AbstractFieldMatrix.extractField(T[] d)` Get the elements type from an array.
`protected static
`<T extends FieldElement<T>> Field<T>`
` | `AbstractFieldMatrix.extractField(T[][] d)` Get the elements type from an array.
`RealMatrix` | `AbstractRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)` Gets a submatrix.
`RealMatrix` | `RealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)` Gets a submatrix.
`FieldMatrix<T>` | `FieldMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)` Get a submatrix.
`FieldMatrix<T>` | `AbstractFieldMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)` Get a submatrix.
`void` | `Array2DRowRealMatrix.setSubMatrix(double[][] subMatrix, int row, int column)` Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
`void` | `AbstractRealMatrix.setSubMatrix(double[][] subMatrix, int row, int column)` Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
`void` | `RealMatrix.setSubMatrix(double[][] subMatrix, int row, int column)` Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
`void` | `BlockRealMatrix.setSubMatrix(double[][] subMatrix, int row, int column)` Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
`void` | `FieldMatrix.setSubMatrix(T[][] subMatrix, int row, int column)` Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
`void` | `Array2DRowFieldMatrix.setSubMatrix(T[][] subMatrix, int row, int column)` Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
`void` | `AbstractFieldMatrix.setSubMatrix(T[][] subMatrix, int row, int column)` Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
`void` | `BlockFieldMatrix.setSubMatrix(T[][] subMatrix, int row, int column)` Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.

Constructors in org.apache.commons.math3.linear that throw NoDataException
`Array2DRowFieldMatrix(Field<T> field, T[][] d)` Create a new `FieldMatrix<T>` using the input array as the underlying data array.
`Array2DRowFieldMatrix(Field<T> field, T[][] d, boolean copyArray)` Create a new `FieldMatrix<T>` using the input array as the underlying data array.
`Array2DRowFieldMatrix(T[] v)` Create a new (column) `FieldMatrix<T>` using `v` as the data for the unique column of the created matrix.
`Array2DRowFieldMatrix(T[][] d)` Create a new `FieldMatrix<T>` using the input array as the underlying data array.
`Array2DRowFieldMatrix(T[][] d, boolean copyArray)` Create a new `FieldMatrix<T>` using the input array as the underlying data array.
`Array2DRowRealMatrix(double[][] d)` Create a new `RealMatrix` using the input array as the underlying data array.
`Array2DRowRealMatrix(double[][] d, boolean copyArray)` Create a new RealMatrix using the input array as the underlying data array.

Uses of NoDataException in org.apache.commons.math3.stat

Methods in org.apache.commons.math3.stat that throw NoDataException
`static double` | `StatUtils.meanDifference(double[] sample1, double[] sample2)` Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
`static double` | `StatUtils.sumDifference(double[] sample1, double[] sample2)` Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).

Uses of NoDataException in org.apache.commons.math3.stat.inference

Methods in org.apache.commons.math3.stat.inference that throw NoDataException
`double` | `MannWhitneyUTest.mannWhitneyU(double[] x, double[] y)` Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
`double` | `MannWhitneyUTest.mannWhitneyUTest(double[] x, double[] y)` Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
`static double` | `TestUtils.pairedT(double[] sample1, double[] sample2)`
`double` | `TTest.pairedT(double[] sample1, double[] sample2)` Computes a paired, 2-sample t-statistic based on the data in the input arrays.
`static double` | `TestUtils.pairedTTest(double[] sample1, double[] sample2)`
`double` | `TTest.pairedTTest(double[] sample1, double[] sample2)` Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
`static boolean` | `TestUtils.pairedTTest(double[] sample1, double[] sample2, double alpha)`
`boolean` | `TTest.pairedTTest(double[] sample1, double[] sample2, double alpha)` Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between `sample1` and `sample2` is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level `alpha`.
`double` | `WilcoxonSignedRankTest.wilcoxonSignedRank(double[] x, double[] y)` Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
`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 NoDataException in org.apache.commons.math3.stat.regression

Methods in org.apache.commons.math3.stat.regression that throw NoDataException
`RegressionResults` | `SimpleRegression.regress()` Performs a regression on data present in buffers and outputs a RegressionResults object.
`RegressionResults` | `UpdatingMultipleLinearRegression.regress()` Performs a regression on data present in buffers and outputs a RegressionResults object

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