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RandomInteger

RandomInteger[{i_min, i_max}]
gives a pseudorandom integer in the range ${i_(min),...,i_(max)}$ .

RandomInteger[i_max]
gives a pseudorandom integer in the range ${0,...,i_(max)}$ .

RandomInteger[]
pseudorandomly gives

RandomInteger[range, n]
gives a list of n pseudorandom integers.

RandomInteger[range, {n₁, n₂, ...}]
gives an

array of pseudorandom integers.

RandomInteger[dist, ...]
samples from the symbolic discrete distribution dist.

MORE INFORMATION

RandomInteger[{i_min, i_max}] chooses integers in the range ${i_(min),...,i_(max)}$ with equal probability.

RandomInteger[] gives 0 or 1 with probability .

RandomInteger gives a different sequence of pseudorandom integers 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.

EXAMPLES

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Basic Examples (5)

A random integer in the range 1 through 10:

A random integer in the range 0 through 3:

A random choice of 0 or 1:

20 random integers in the range 0 through 5:

random array of 0s and 1s:

A random integer in the range 1 through 10:

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A random integer in the range 0 through 3:

In[1]:=

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A random choice of 0 or 1:

In[1]:=

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20 random integers in the range 0 through 5:

In[1]:=

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random array of 0s and 1s:

In[1]:=

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Scope (1)

Generate random integers of any size:

Applications (4)

A cellular automaton with random initial conditions:

Random circles at integer positions:

Random array of black and white cells:

Count how many pairs of random integers between 1 and a million are relatively prime:

Properties & Relations (3)

Use SeedRandom to get repeatable random values:

Use BlockRandom to block one use of RandomInteger from affecting others:

RandomInteger generates a uniform distribution, here with mean 5:

Neat Examples (1)

A randomly filled cubic lattice: