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## sim.util.distribution
Class Exponential

    java.lang.Object
      sim.util.distribution.AbstractDistribution
          sim.util.distribution.AbstractContinousDistribution
              sim.util.distribution.Exponential

All Implemented Interfaces:
  java.io.Serializable

    public class Exponential

extends AbstractContinousDistribution

Exponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.

`p(x) = lambda*exp(-x*lambda)` for `x >= 0`, `lambda > 0`.

Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.

Static methods operate on a default uniform random number generator; they are synchronized.

See Also:
  Serialized Form

Field Summary
`protected double` | `lambda`

Fields inherited from class sim.util.distribution.AbstractDistribution
`randomGenerator`

Constructor Summary
`Exponential(double lambda, MersenneTwisterFast randomGenerator)` Constructs a Negative Exponential distribution.

Method Summary
`double` | `cdf(double x)` Returns the cumulative distribution function.
`double` | `nextDouble()` Returns a random number from the distribution.
`double` | `nextDouble(double lambda)` Returns a random number from the distribution; bypasses the internal state.
`double` | `pdf(double x)` Returns the probability distribution function.
`void` | `setState(double lambda)` Sets the mean.
`java.lang.String` | `toString()` Returns a String representation of the receiver.

Methods inherited from class sim.util.distribution.AbstractDistribution
`apply, apply, getRandomGenerator, nextInt, setRandomGenerator`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Field Detail

### lambda

    protected double lambda

Constructor Detail

### Exponential

    public Exponential(double lambda,
                       MersenneTwisterFast randomGenerator)

  Constructs a Negative Exponential distribution.

Method Detail

### cdf

    public double cdf(double x)

  Returns the cumulative distribution function.

### nextDouble

    public double nextDouble()

  Returns a random number from the distribution.

  Specified by:
    `nextDouble` in class `AbstractDistribution`

### nextDouble

    public double nextDouble(double lambda)

  Returns a random number from the distribution; bypasses the internal state.

### pdf

    public double pdf(double x)

  Returns the probability distribution function.

### setState

    public void setState(double lambda)

  Sets the mean.

### toString

    public java.lang.String toString()

  Returns a String representation of the receiver.

  Overrides:
    `toString` in class `java.lang.Object`

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