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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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@sudo_recast · Post #104 · 04/25/2022, 12:16 PM

GitLab-specific references https://docs.gitlab.com/ee/user/markdown.html#gitlab-specific-references #mark

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Parallel Experiments

@LinghaoCh · Post #755 · 04/10/2022, 02:07 AM

https://store.steampowered.com/app/900270/Reventure/ 令人惊喜的小游戏,核心玩法是在一个剧情老套的像素风 RPG 里找到 100 种不同的结局。 #mark#game

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