Psevdotasodifiy sonlar generatorini (PRNG) tekshirish va tahlil qilish

Authors

  • RASHIDOVA OYDINOY JO‘RABEK QIZI
  • MAXMUDOV ABDUAZIM MUZAFFAR O‘G‘LI

Keywords:

psevdotasodifiy sonlar generatori, PRNG, random modul, Python, ehtimollar nazariyasi, statistik tahlil, takrorlanish chastotasi, bir tekis taqsimot.

Abstract

Ushbu maqolada psevdotasodifiy sonlar generatorining (PRNG) ishlash samaradorligi va statistik xususiyatlari tahlil qilindi. Tadqiqot davomida Python dasturlash tilining `random` moduli yordamida sonlar generatsiya qilindi. Olingan natijalar asosida sonlarning takrorlanish chastotasi, taqsimotning bir tekisligi hamda generatorning amaliy ishonchliligi baholandi. Tahlil natijalari PRNG tomonidan yaratilgan qiymatlar nazariy ehtimollik qonunlariga mos ravishda deyarli teng taqsimlanganini ko‘rsatdi. Tadqiqot psevdotasodifiy sonlar generatorlarining statistik modellashtirish va dasturiy simulyatsiyalarda samarali qo‘llanilishini tasdiqlaydi.

References

Anton Novikau, “Analysis of Pseudorandom Number Generator in Python”, International Journal of Science and Engineering Applications Volume 13-Issue 12, 01 – 04, 2024, ISSN:- 2319 - 7560 DOI: 10.7753/IJSEA1312.1001

Benjamin Antunes, David R.C Hill, “Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations” , https://doi.org/10.48550/arXiv.2401.17345

ArjunBhamra, “Randomness and Pseudorandom Number Generators”, 2023

Michael Goodrich, “Generating Random and Pseudorandom Numbers”

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Published

2026-04-24

How to Cite

RASHIDOVA OYDINOY JO‘RABEK QIZI, & MAXMUDOV ABDUAZIM MUZAFFAR O‘G‘LI. (2026). Psevdotasodifiy sonlar generatorini (PRNG) tekshirish va tahlil qilish. SAMARALI TA’LIM VA BARQAROR INNOVATSIYALAR JURNALI, 4(4), 460–464. Retrieved from https://innovativepublication.uz/index.php/jelsi/article/view/5674