2026-06-27T15:27:25Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/968412025-03-25T00:46:44Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc Almaraz Luengo, Elena Salome author 2022 Communication, among others. Throughout history, different algorithms have been developed for the generation of such values and advances in computing have made them increasingly faster and more efficient from a computational point of view. These advances also allow the generation of higher-quality inputs (from the point of view of randomness and uniformity) for these algorithms that are easily tested by different statistical batteries such as NIST, Dieharder, or TestU01 among others. This article describes the existing algorithms for the generation of (independent and identically distributed—i.i.d.) Gamma distribution values as well as the theoretical and mathematical foundations that support their validity. Elena Almaraz Luengo. 2023. Gamma Pseudo Random Number Generators. ACM Comput. Surv. 55, 4 (May 2023), 1–33. https://doi.org/10.1145/3527157 0360-0300 10.1145/3527157 https://hdl.handle.net/20.500.14352/96841 1557-7341 https://doi.org/10.1145/3527157 Gamma pseudo random number generators