Colt 1.2.0
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## N

NO_INTERPOLATION - Static variable in class cern.jet.random.Empirical

NegativeBinomial - class cern.jet.random.NegativeBinomial.
Negative Binomial distribution; See the math definition.
NegativeBinomial(int, double, RandomEngine) - Constructor for class cern.jet.random.NegativeBinomial
Constructs a Negative Binomial distribution.
Normal - class cern.jet.random.Normal.
Normal (aka Gaussian) distribution; See the math definition and animated definition.
Normal(double, double, RandomEngine) - Constructor for class cern.jet.random.Normal
Constructs a normal (gauss) distribution.
name() - Method in interface hep.aida.bin.BinFunction1D
Returns the name of this function.
nanoampere - Static variable in class cern.clhep.Units

nanobarn - Static variable in class cern.clhep.Units

nanofarad - Static variable in class cern.clhep.Units

nanometer - Static variable in class cern.clhep.Units

nanosecond - Static variable in class cern.clhep.Units

neg - Static variable in class cern.jet.math.Functions
Function that returns -a.
neg - Static variable in class cern.jet.math.IntFunctions
Function that returns -a.
negate(DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = -A <=> A[i] = -A[i] for all cells.
negate(DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = -A <=> A[row,col] = -A[row,col].
negativeBinomial(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms 0 through k of the Negative Binomial Distribution.
negativeBinomialComplemented(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms k+1 to infinity of the Negative Binomial distribution.
neutron_mass_c2 - Static variable in class cern.clhep.PhysicalConstants

newDoubleQuantileFinder(boolean, long, double, double, int, RandomEngine) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Returns a quantile finder that minimizes the amount of memory needed under the user provided constraints.
newEquiDepthPhis(int) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Convenience method that computes phi's for equi-depth histograms.
newton - Static variable in class cern.clhep.Units

nextBlock(int, long[], int) - Method in class cern.jet.random.sampling.RandomSampler
Computes the next count random numbers of the sorted random set specified on instance construction and fills them into values, starting at index fromIndex.
nextBoolean() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random boolean.
nextBurr1(double, int, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the Burr II, VII, VIII, X Distributions.
nextBurr2(double, double, int, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the Burr III, IV, V, VI, IX, XII distributions.
nextCauchy(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a cauchy distributed random number from the standard Cauchy distribution C(0,1).
nextDouble() - Method in class cern.jet.random.AbstractDiscreteDistribution
Returns a random number from the distribution; returns (double) nextInt().
nextDouble() - Method in class cern.jet.random.AbstractDistribution
Returns a random number from the distribution.
nextDouble() - Method in class cern.jet.random.Beta
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Beta
Returns a beta distributed random number; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.BreitWigner
Returns a random number from the distribution.
nextDouble(double, double, double) - Method in class cern.jet.random.BreitWigner
Returns a random number from the distribution; bypasses the internal state.
nextDouble(double, double, double) - Method in class cern.jet.random.BreitWignerMeanSquare
Returns a mean-squared random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.ChiSquare
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.ChiSquare
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Empirical
Returns a random number from the distribution.
nextDouble() - Method in class cern.jet.random.Exponential
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.Exponential
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.ExponentialPower
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.ExponentialPower
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Gamma
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Gamma
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Hyperbolic
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Hyperbolic
Returns a hyperbolic distributed random number; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Logarithmic
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.Logarithmic
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Normal
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Normal
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.StudentT
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.StudentT
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (min,max) (excluding min and max).
nextDouble() - Method in class cern.jet.random.VonMises
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.VonMises
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.engine.RandomEngine
Returns a 64 bit uniformly distributed random number in the open unit interval `(0.0,1.0)` (excluding 0.0 and 1.0).
nextDouble() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 64 bit uniformly distributed random number in the open unit interval `(0.0,1.0)` (excluding 0.0 and 1.0).
nextDoubleFromTo(double, double) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
nextErlang(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns an erlang distributed random number with the given variance and mean.
nextFloat() - Method in class cern.jet.random.engine.RandomEngine
Returns a 32 bit uniformly distributed random number in the open unit interval `(0.0f,1.0f)` (excluding 0.0f and 1.0f).
nextFloat() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 32 bit uniformly distributed random number in the open unit interval `(0.0f,1.0f)` (excluding 0.0f and 1.0f).
nextFloatFromTo(float, float) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
nextGeometric(double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a discrete geometric distributed random number; Definition.
nextInt() - Method in class cern.jet.random.AbstractDiscreteDistribution
Returns a random number from the distribution.
nextInt() - Method in class cern.jet.random.AbstractDistribution
Returns a random number from the distribution; returns (int) Math.round(nextDouble()).
nextInt() - Method in class cern.jet.random.Binomial
Returns a random number from the distribution.
nextInt(int, double) - Method in class cern.jet.random.Binomial
Returns a random number from the distribution with the given parameters n and p; bypasses the internal state.
nextInt() - Method in class cern.jet.random.EmpiricalWalker
Returns a random integer k with probability pdf(k).
nextInt() - Method in class cern.jet.random.HyperGeometric
Returns a random number from the distribution.
nextInt(int, int, int) - Method in class cern.jet.random.HyperGeometric
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.NegativeBinomial
Returns a random number from the distribution.
nextInt(int, double) - Method in class cern.jet.random.NegativeBinomial
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.Poisson
Returns a random number from the distribution.
nextInt(double) - Method in class cern.jet.random.Poisson
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.PoissonSlow
Returns a random number from the distribution.
nextInt() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [min,max] (including min and max).
nextInt() - Method in class cern.jet.random.Zeta
Returns a random number from the distribution.
nextInt() - Method in class cern.jet.random.engine.DRand
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).
nextInt() - Method in class cern.jet.random.engine.MersenneTwister
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).
nextInt() - Method in class cern.jet.random.engine.RandomEngine
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE);
nextInt() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE);
nextIntFromTo(int, int) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
nextLambda(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a lambda distributed random number with parameters l3 and l4.
nextLaplace(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a Laplace (Double Exponential) distributed random number from the standard Laplace distribution L(0,1).
nextLogistic(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the standard Logistic distribution Log(0,1).
nextLong() - Method in class cern.jet.random.engine.RandomEngine
Returns a 64 bit uniformly distributed random number in the closed interval [Long.MIN_VALUE,Long.MAX_VALUE] (including Long.MIN_VALUE and Long.MAX_VALUE).
nextLong() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 64 bit uniformly distributed random number in the closed interval [Long.MIN_VALUE,Long.MAX_VALUE] (including Long.MIN_VALUE and Long.MAX_VALUE).
nextLongFromTo(long, long) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
nextPowLaw(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a power-law distributed random number with the given exponent and lower cutoff.
nextPrime(int) - Static method in class cern.colt.map.PrimeFinder
Returns a prime number which is `>= desiredCapacity` and very close to `desiredCapacity` (within 11% if `desiredCapacity >= 1000`).
nextSeed() - Method in class cern.jet.random.engine.RandomSeedGenerator
Returns the next seed.
nextTriangular(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the standard Triangular distribution in (-1,1).
nextWeibull(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a weibull distributed random number.
nextZipfInt(double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a zipfian distributed random number with the given skew.
norm1(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the one-norm of vector x, which is Sum(abs(x[i])).
norm1(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the one-norm of matrix A, which is the maximum absolute column sum.
norm2(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the two-norm (aka euclidean norm) of vector x; equivalent to mult(x,x).
norm2(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the two-norm of matrix A, which is the maximum singular value; obtained from SVD.
norm2() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the two norm, which is max(S).
normF(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the Frobenius norm of matrix A, which is Sqrt(Sum(A[i,j]2)).
normInfinity(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the infinity norm of vector x, which is Max(abs(x[i])).
normInfinity(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the infinity norm of matrix A, which is the maximum absolute row sum.
normal(double) - Static method in class cern.jet.stat.Probability
Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x (assumes mean is zero, variance is one).
normal(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x.
normalInverse(double) - Static method in class cern.jet.stat.Probability
Returns the value, x, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to x) is equal to the argument y (assumes mean is zero, variance is one); formerly named ndtri.
not() - Method in class cern.colt.bitvector.BitMatrix
Performs a logical NOT on the bits of the receiver.
not() - Method in class cern.colt.bitvector.BitVector
Performs a logical NOT on the bits of the receiver (A = ~A).
not - Static variable in class cern.jet.math.IntFunctions
Function that returns ~a.
ns - Static variable in class cern.clhep.Units

Colt 1.2.0
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z