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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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@storage_qi · Post #764 · 02/07/2024, 05:45 PM

#Clash#ClashMeta#WebUI#metacubexd#Yacd GH 页面自定义域:http://d.metacubex.one GH 页面:https://metacubex.github.io/metacubexd Cloudflare 页面:https://metacubexd.pages.dev 省流(个人认为体验优于Yacd): - 在Connections的功能相当丰富,功能体验最优(无法全部显示时,Shift+滚轮 可以横向滚动) - Proxies界面节点延迟可视化显示 - 还有一些其他Web UI所没有的功能 来源(ClashMeta官方支持)