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

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