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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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@githubtrending · Post #14990 · 07/23/2025, 12:00 PM

#vue#pake#pakeplus#rust#tauri#tauri2#vue3#webapp You can quickly turn any website or web project like Vue or React into a small, fast desktop or mobile app under 5MB using PakePlus. It works on Mac, Windows, Linux, Android, and iOS without needing complex setups. PakePlus is much smaller and faster than similar tools, supports custom JavaScript, and keeps your data secure by using your own GitHub repository. It’s easy to use with just one GitHub token or even without one for local packaging. This helps you create apps fast, hide website addresses, add custom features, and run your web projects as apps on many platforms. https://github.com/Sjj1024/PakePlus