Random Number Generators: Algorithms and Generators

Related lectures (32)

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Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.

Explores random number generators, including Pseudo-RNG algorithms, properties, assessment methods, and independence testing.

Explores random number generators on computers, focusing on the Modulo generator and the criteria for pseudo random numbers.

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

Explores Schrage's algorithm for generating random numbers and shift-register generators in computers.

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

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

Explores C++ standard library containers and algorithms, including associative tables, stacks, queues, and random number generation.

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

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.