code::Random Class Reference

List of all members.

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Detailed Description

A Random number generator that can generate both uniformly and normally distributed random numbers.

Sources:
Linear Congruential Method by D. Lehmer
Rules for above by D.E. Knuth
C++ implementation of LCM by R. Sedgewick
Dec 1995

Instantiate a new Random process by invoking the declaration:

     Random new_process(int seed);
     

and then, your sequence of random numbers may be obtained by sequentially calling

      new_process.x_int() to get random integers
   or new_process.x_dbl() to get a random double value in [0,1)
   or new_process.x_gss(sigma) to get a normally distri. double in (-inf,+inf)

e.g:  Random x(2345678);
      cout << x.x_int();
      

The Gaussian generator is not efficient -- it uses two random numbers to generate one normally-distributed one. Two such distributed values are actually available.

You can get a random seed using Random :: getSeed() This function uses the current time, process id, etc. to try to come up with a different number each time.

Author:

Lakshman

Version:

Id

code_Random.h,v 1.4 2009/06/02 20:17:40 lakshman Exp

Public Member Functions
	Random (int seed)
	Create a new random process.
int	x_int ()
	Get the next random variable as integer uniformly distributed in the range [0,10^8).
double	x_dbl ()
	Get the next random variable as a double uniformly distributed in the range [0,1).
double	x_gss (double sigma=1.0, double mean=0.0)
	Get the next random variable normally distributed with the requested mean and passed in standard deviation.
Static Public Member Functions
static int	getSeed ()
	To get a constantly changing seed to pass into the constructor if needed.

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Constructor & Destructor Documentation

code::Random::Random

(

int

seed

)

[inline]

Create a new random process.

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Member Function Documentation

static int code::Random::getSeed

(

)

[static]

To get a constantly changing seed to pass into the constructor if needed.

double code::Random::x_dbl

(

)

Get the next random variable as a double uniformly distributed in the range [0,1).

double code::Random::x_gss	(	double	sigma = 1.0,
		double	mean = 0.0
	)

Get the next random variable normally distributed with the requested mean and passed in standard deviation.

int code::Random::x_int

(

)

Get the next random variable as integer uniformly distributed in the range [0,10^8).

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