EHTIMOLLAR NAZARIYASINING ASOSIY TUSHUNCHALARINI C# DASTURLASH TILIDAMODELLASHTIRISH.
Keywords:
Ehtimollar nazariyasi, C# dasturlash tili, tasodifiy hodisa, kombinatorika, shartli ehtimollik, matematik kutilma, modellashtirish, Monte Carlo usuli, statistik tahlil, dasturiy amaliyot.Abstract
Ushbu maqolada ehtimollar nazariyasining asosiy tushunchalari – tasodifiy hodisa, ehtimollik, kombinatorika, shartli ehtimollik va matematik kutilma – nazariy jihatdan yoritildi va ularning dasturiy modellashtirish imkoniyatlari C# dasturlash tili yordamida tahlil qilindi. Maqola doirasida har bir tushuncha uchun alohida dasturiy misollar yozildi hamda tajriba natijalari nazariy kutilmalar bilan taqqoslandi. Amaliy yondashuv orqali ehtimollar nazariyasining nazariy asoslarini chuqurroq o‘zlashtirish, dasturchilik ko‘nikmalarini rivojlantirish va real hayotdagi tasodifiy jarayonlarni modellashtirish imkoniyati ko‘rsatib berildi. Olingan natijalar ehtimollar nazariyasini dasturlash orqali o‘rganish samarali va istiqbolli yo‘nalish ekanini tasdiqlaydi.
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References
Karimov A.A. Ehtimollar nazariyasi va matematik statistika. – Toshkent: O‘zbekiston, 2020. – 240 b.
Sobirov S.S. Ehtimollar nazariyasining amaliy masalalari. – Samarqand: SamDU nashriyoti, 2018. – 198 b.
Ross S. M. A First Course in Probability. – 9th Edition. – Pearson Education, 2012. – 464 p.
Tanenbaum A.S., Van Steen M. Distributed Systems: Principles and Paradigms. – Pearson, 2007.
Schildt H. C# 10.0: The Complete Reference. – McGraw-Hill, 2022. – 880 p.
Albahari J., Albahari B. C# 10 in a Nutshell. – O’Reilly Media, 2022. – 1050 p.
Microsoft Learn. C# Programming Guide.
https://learn.microsoft.com/en-us/dotnet/csharp/
Khan Academy. Introduction to Probability.
https://www.khanacademy.org/math/statistics-probability/probability-library
