Management and Economics Scientific Research Journal 2-jild 2-son (2025) · 57-68-betlar
MATEMATIK MASALALARNI ZAMONAVIY DASTURLASH TILLARI YORDAMIDA YECHISH
Ulashov A.E, Obilov H.X
Annotatsiya
This paper analyzes the performance of Python, C++, and Java programminglanguages for performing matrix operations. The main matrix operations, such as matrix addition,multiplication, finding the inverse, and calculating the determinant, are examined in eachprogramming language. Performance, execution time, resource consumption, and processingspeed are compared. The fastest and most efficient results were obtained using Python with theNumPy library, while C++ and Java also achieved high performance, though requiring additionaloptimizations. The study highlights the strengths of each programming language for matrixoperations and provides recommendations for future research.
matritsa amallari, Python, C++, Java, samaradorlik, teskari matritsa, determinant, qo‘shish, ko‘paytirish, optimizatsiya, parallel hisoblash, dasturlash tillari
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.