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