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"Random Number Generation" as a book category covers the theory, methods, tools, and applications of producing and evaluating randomness in computing and science. It includes rigorous treatments of pseudorandom number generators (algorithms like linear congruential generators, Mersenne Twister, xorshift, and cryptographically secure PRNGs), true/hardware random sources and entropy harvesting, randomness extraction and seeding, and statistical testing and validation (Diehard, TestU01, NIST suites). Books in the category range from mathematical and cryptographic analyses to practical programming guides, implementation references, and accessible popular-science or historical accounts about the role and nature of randomness; typical audiences include mathematicians, computer scientists, engineers, cryptographers, simulation specialists, and hobbyists concerned with secure, reliable, or reproducible random sampling for applications such as Monte Carlo methods, gaming, security, and scientific modeling.

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