SUMMARY
This discussion focuses on generating pseudo-random numbers using the time of day as a seed. Participants highlight that most programming languages, including C++, have built-in functions for this purpose. The Mersenne Twister algorithm is recommended for generating pseudo-random numbers, although it is not suitable for cryptographic applications. A simple method to introduce bias in random number generation is also discussed, involving the modulus operation on the output of the standard random function.
PREREQUISITES
- Understanding of pseudo-random number generation concepts
- Familiarity with programming languages like C++ or Octave
- Knowledge of the Mersenne Twister algorithm
- Basic mathematical concepts related to modulus operations
NEXT STEPS
- Research the Mersenne Twister algorithm for pseudo-random number generation
- Learn how to implement random number generation in C++ using time as a seed
- Explore the implications of bias in random number generation and how to mitigate it
- Investigate built-in random number functions in other programming languages
USEFUL FOR
Programmers, game developers, and data scientists who need to generate pseudo-random numbers for simulations or applications without requiring true randomness.