- N - Variable in class latmath.util.Combinations
-
- N - Variable in class latmath.util.CombinatorialIterator
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- next() - Method in class latmath.util.CombinatorialIterator
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- nextGamma(double, double) - Method in class latmath.distribution.GammaDistribution
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Generates a random value from the Gamma Distribution.
- nextUniform(Random, double, double) - Static method in class latmath.distribution.ExponentialDistribution
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Generates a uniformly distributed random value from the open interval
(lower
,upper
) (i.e., endpoints excluded).
- NonlinearLeastSquares - Class in latmath.algorithm
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Multilateration using nonlinear least squares solution.
- NonlinearLeastSquares() - Constructor for class latmath.algorithm.NonlinearLeastSquares
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- NonlinearLeastSquaresLM - Class in latmath.algorithm
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Multilateration using nonlinear least squares solution based on the
Levenberg–Marquardt algorithm (LMA).
- NonlinearLeastSquaresLM() - Constructor for class latmath.algorithm.NonlinearLeastSquaresLM
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- NonlinearLeastSquaresLM2 - Class in latmath.algorithm
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Multilateration using nonlinear least squares solution based on the
Levenberg–Marquardt algorithm (LMA) using two initial starting points.
- NonlinearLeastSquaresLM2() - Constructor for class latmath.algorithm.NonlinearLeastSquaresLM2
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- NormalDistribution - Class in latmath.distribution
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Normal (Gauss) Distribution.
- NormalDistribution() - Constructor for class latmath.distribution.NormalDistribution
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Create a normal distribution with mean equal to zero and standard
deviation equal to one.
- NormalDistribution(double, double) - Constructor for class latmath.distribution.NormalDistribution
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Create a normal distribution using the given mean and standard deviation.
- NTErrorRangingFilter - Class in latmath.ranging.filter
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Ranging filter which simulates Nanotron ranging error.
- NTErrorRangingFilter() - Constructor for class latmath.ranging.filter.NTErrorRangingFilter
-