This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# RandomReal

 RandomRealgives a pseudorandom real number in the range 0 to 1. RandomRealgives a pseudorandom real number in the range to . RandomRealgives a pseudorandom real number in the range 0 to . RandomRealgives a list of n pseudorandom reals. RandomRealgives an ××... array of pseudorandom reals.
• RandomReal chooses reals with a uniform probability distribution in the range to .
• RandomReal[spec, WorkingPrecision->n] yields reals with n-digit precision. Leading or trailing digits in the generated number can turn out to be 0.
• RandomReal gives a different sequence of pseudorandom reals whenever you run Mathematica. You can start with a particular seed using SeedRandom.
• A Method option to SeedRandom can be given to specify the pseudorandom generator used.
A random real number in the range 0 to 1:
A random real number in the range to 10:
A random real number in the range 0 to 10:
5 random reals in the range 0 to 1:
A 3×2 array of random reals in the range to 1:
Random coordinates for 4 points in 3 dimensions:
A random real number in the range 0 to 1:
 Out[1]=

A random real number in the range to 10:
 Out[1]=

A random real number in the range 0 to 10:
 Out[1]=

5 random reals in the range 0 to 1:
 Out[1]=

A 3×2 array of random reals in the range to 1:
 Out[1]=

Random coordinates for 4 points in 3 dimensions:
 Out[1]=
 Scope   (3)
Generate random reals of any magnitude:
Generate random reals of any precision:
Generate low-precision reals:
 Options   (1)
Generate a random real with 50-digit precision:
 Applications   (7)
A random walk:
Circles at random positions:
Random array of gray levels:
Spheres at random positions:
2D random walk:
3D random walk:
Determinants of random 100×100 matrices:
Generate a complex number in the unit square:
Generate 5 complex numbers:
Use SeedRandom to get repeatable random values:
Use BlockRandom to block one use of RandomReal from affecting others:
With the same seed, RandomReal generates the "same" number, regardless of precision:
RandomReal generates a uniform distribution, here with mean 0.5:
RandomReal generates white noise:
Construct a surface from random heights:
New in 6