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Source channel @githubtrending · Post #14731 · May 21

#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS

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@colearninguz · Post #12 · 12/27/2020, 07:29 AM

Dasturlash doimiy ravishda oʻz ustida ishlash degani. Shuningdek, u toʻxtovsiz oʻrganishni ham talab etadi. Oʻrganish jarayonida kitobdan yaxshi koʻmakchi yoʻq, shunday emasmi? 🧑‍💻 “Clean Code: A Handbook of Agile Software Craftsmanship” Robert C. Martinʼning kitobi boʻlib, unda kodni tozalash, yozish va qayta tiklash boʻyicha batafsil, bosqichma-bosqich tushuntirishlar mavjud. Siz dasturiy taʼminotni ishlab chiqish loyihalarida SDLC'ning yetakchi shakllaridan biri boʻlgan Agile metodologiyasini gʻayrat bilan amalga oshira olasiz. Bundan tashqari, siz avvalgidan koʻra qatʼiyatli va intizomli dasturchi boʻlasiz. #CLC#Chitay#Coding_hazil_emas @colearninguz