Uses of Interface cern.colt.function.IntFunction (Colt 1.2.0 - API Specification)

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## Uses of Interface
cern.colt.function.IntFunction

Packages that use IntFunction
cern.jet.math | Tools for basic and advanced mathematics: Arithmetics and Algebra, Polynomials and Chebyshev series, Bessel and Airy functions, Function Objects for generic function evaluation, etc.
cern.jet.random | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's.
cern.jet.random.engine | Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution.

Uses of IntFunction in cern.jet.math

Fields in cern.jet.math declared as IntFunction
`static IntFunction` | `IntFunctions.abs` Function that returns `Math.abs(a) == (a < 0) ? -a : a`.
`static IntFunction` | `IntFunctions.dec` Function that returns `a--`.
`static IntFunction` | `IntFunctions.factorial` Function that returns `(int) Arithmetic.factorial(a)`.
`static IntFunction` | `IntFunctions.identity` Function that returns its argument.
`static IntFunction` | `IntFunctions.inc` Function that returns `a++`.
`static IntFunction` | `IntFunctions.neg` Function that returns `-a`.
`static IntFunction` | `IntFunctions.not` Function that returns `~a`.
`static IntFunction` | `IntFunctions.sign` Function that returns `a < 0 ? -1 : a > 0 ? 1 : 0`.
`static IntFunction` | `IntFunctions.square` Function that returns `a * a`.

Methods in cern.jet.math that return IntFunction
`static IntFunction` | `IntFunctions.and(int b)` Constructs a function that returns `a & b`.
`static IntFunction` | `IntFunctions.between(int from, int to)` Constructs a function that returns `(from<=a && a<=to) ? 1 : 0`.
`static IntFunction` | `IntFunctions.bindArg1(IntIntFunction function, int c)` Constructs a unary function from a binary function with the first operand (argument) fixed to the given constant `c`.
`static IntFunction` | `IntFunctions.bindArg2(IntIntFunction function, int c)` Constructs a unary function from a binary function with the second operand (argument) fixed to the given constant `c`.
`static IntFunction` | `IntFunctions.chain(IntFunction g, IntFunction h)` Constructs the function `g( h(a) )`.
`static IntFunction` | `IntFunctions.compare(int b)` Constructs a function that returns `a < b ? -1 : a > b ? 1 : 0`.
`static IntFunction` | `IntFunctions.constant(int c)` Constructs a function that returns the constant `c`.
`static IntFunction` | `IntFunctions.div(int b)` Constructs a function that returns `a / b`.
`static IntFunction` | `IntFunctions.equals(int b)` Constructs a function that returns `a == b ? 1 : 0`.
`static IntFunction` | `IntFunctions.max(int b)` Constructs a function that returns `Math.max(a,b)`.
`static IntFunction` | `IntFunctions.min(int b)` Constructs a function that returns `Math.min(a,b)`.
`static IntFunction` | `IntFunctions.minus(int b)` Constructs a function that returns `a - b`.
`static IntFunction` | `IntFunctions.mod(int b)` Constructs a function that returns `a % b`.
`static IntFunction` | `IntFunctions.mult(int b)` Constructs a function that returns `a * b`.
`static IntFunction` | `IntFunctions.or(int b)` Constructs a function that returns `a | b`.
`static IntFunction` | `IntFunctions.plus(int b)` Constructs a function that returns `a + b`.
`static IntFunction` | `IntFunctions.pow(int b)` Constructs a function that returns `(int) Math.pow(a,b)`.
`static IntFunction` | `IntFunctions.random()` Constructs a function that 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`).
`static IntFunction` | `IntFunctions.shiftLeft(int b)` Constructs a function that returns `a << b`.
`static IntFunction` | `IntFunctions.shiftRightSigned(int b)` Constructs a function that returns `a >> b`.
`static IntFunction` | `IntFunctions.shiftRightUnsigned(int b)` Constructs a function that returns `a >>> b`.
`static IntFunction` | `IntFunctions.xor(int b)` Constructs a function that returns `a | b`.

Methods in cern.jet.math with parameters of type IntFunction
`static IntFunction` | `IntFunctions.chain(IntFunction g, IntFunction h)` Constructs the function `g( h(a) )`.
`static IntIntFunction` | `IntFunctions.chain(IntFunction g, IntIntFunction h)` Constructs the function `g( h(a,b) )`.
`static IntIntFunction` | `IntFunctions.chain(IntIntFunction f, IntFunction g, IntFunction h)` Constructs the function `f( g(a), h(b) )`.

Uses of IntFunction in cern.jet.random

Classes in cern.jet.random that implement IntFunction
`class` | `AbstractContinousDistribution` Abstract base class for all continous distributions.
`class` | `AbstractDiscreteDistribution` Abstract base class for all discrete distributions.
`class` | `AbstractDistribution` Abstract base class for all random distributions.
`class` | `Beta` Beta distribution; math definition and animated definition.
`class` | `Binomial` Binomial distribution; See the math definition and animated definition.
`class` | `BreitWigner` BreitWigner (aka Lorentz) distribution; See the math definition.
`class` | `BreitWignerMeanSquare` Mean-square BreitWigner distribution; See the math definition.
`class` | `ChiSquare` ChiSquare distribution; See the math definition and animated definition.
`class` | `Empirical` Empirical distribution.
`class` | `EmpiricalWalker` Discrete Empirical distribution (pdf's can be specified).
`class` | `Exponential` Exponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.
`class` | `ExponentialPower` Exponential Power distribution.
`class` | `Gamma` Gamma distribution; math definition, definition of gamma function and animated definition.
`class` | `Hyperbolic` Hyperbolic distribution.
`class` | `HyperGeometric` HyperGeometric distribution; See the math definition The hypergeometric distribution with parameters `N`, `n` and `s` is the probability distribution of the random variable X, whose value is the number of successes in a sample of `n` items from a population of size `N` that has `s` 'success' items and `N - s` 'failure' items.
`class` | `Logarithmic` Logarithmic distribution.
`class` | `NegativeBinomial` Negative Binomial distribution; See the math definition.
`class` | `Normal` Normal (aka Gaussian) distribution; See the math definition and animated definition.
`class` | `Poisson` Poisson distribution (quick); See the math definition and animated definition.
`class` | `PoissonSlow` Poisson distribution; See the math definition and animated definition.
`class` | `StudentT` StudentT distribution (aka T-distribution); See the math definition and animated definition.
`class` | `Uniform` Uniform distribution; Math definition and animated definition.
`class` | `VonMises` Von Mises distribution.
`class` | `Zeta` Zeta distribution.

Uses of IntFunction in cern.jet.random.engine

Classes in cern.jet.random.engine that implement IntFunction
`class` | `DRand` Quick medium quality uniform pseudo-random number generator.
`class` | `MersenneTwister` MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
`class` | `MersenneTwister64` Same as `MersenneTwister` except that method `raw()` returns 64 bit random numbers instead of 32 bit random numbers.
`class` | `RandomEngine` Abstract base class for uniform pseudo-random number generating engines.

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