What does pseudorandom mean?
Pseudorandom refers to sequences or values that appear to be randomly distributed but are actually produced by a deterministic process or algorithm. These sequences are designed to mimic the properties of truly random sequences, such as uniform distribution and lack of predictability, but can be reproduced if the initial conditions and algorithm are known. Pseudorandom numbers are commonly used in simulations, statistical analyses, and computational models where true randomness is not required or is impractical. The use of pseudorandom sequences allows for reproducibility of results, which is crucial in scientific research and testing. While pseudorandom sequences are not truly random, they are often sufficient for many applications and can be generated efficiently by computers.
adjectivePseudorandom refers to a sequence of numbers or values that appear to be random but are actually generated by a deterministic algorithm. Such sequences often mimic the properties of truly random sequences.
- Appearing random but generated deterministically
- Not truly random but having some properties of random sequences
"The simulation relied on pseudorandom numbers to model real-world variability."
"The algorithm generated pseudorandom numbers for the statistical analysis."
"Pseudorandom processes are used in many types of simulations and modeling."
Reviewed by Deb Chak, Editor. AI-assisted content curated by RJS Tech Solutions LLP.
Etymology of pseudorandom
The term 'pseudorandom' combines 'pseudo-', a prefix meaning 'false' or 'pretended', with 'random', which refers to chance or unpredictability. The term has been used since at least the mid-20th century to describe sequences that mimic randomness but are generated by deterministic processes.
Usage notes
Often used in computing, statistics, and engineering to describe sequences or processes that mimic randomness but are actually deterministic.