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Random Number Generator

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Max 100

What is Random Number Generator?

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A random number generator produces numbers with no predictable pattern within a specified range. Computers generate pseudorandom numbers using deterministic algorithms seeded by a starting value. True random numbers require physical entropy sources.

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How to Random Number Generator

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1JavaScript: Math.random() returns a float from 0 (inclusive) to 1 (exclusive)
2Integer from min to max: Math.floor(Math.random() × (max - min + 1)) + min
3Cryptographic: crypto.getRandomValues() — suitable for security applications
4Distribution: uniform (equal probability for each value) by default

Worked Examples

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Example 1

Given:Range 1–100

परिणाम:Random integer: e.g. 47

Random Number Applications

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Application	Type needed	Why
Games and simulations	Pseudorandom	Speed matters, not security
Statistical sampling	Pseudorandom	Reproducible with same seed
Cryptography	Cryptographically secure	Unpredictable is critical
Lotteries	True random	Fairness and legality
Science experiments	Pseudorandom	Reproducibility needed

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Pro Tip

Seeding a pseudorandom number generator with the same seed always produces the same sequence. This is useful for reproducible simulations — save the seed, reproduce the results exactly.

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Did you know?

The RAND Corporation published a 400-page book in 1955 containing one million random digits — essential before computers were available. It was sold as a reference for statisticians and scientists. A used copy now sells for $200+ on Amazon.

References

›Random number generation — Wikipedia