Random Number Generators: Modulo Generator

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Explores random number generators, from true random numbers to pseudo random algorithms, including the modulo generator and advanced techniques.

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Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.

Covers Monte Carlo methods for simulating single particle diffusion in cementitious materials, including random functions and number generators.

Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Covers the implementation of deterministic random number generation in C++ simulations.

Explores portable and non-portable random number generation algorithms and the shift-register generator concept.

Explores containers and algorithms in the C++ standard library, including find, copy, and sort functionalities.