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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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DataSci NU

@nu_datasci · Post #3 · 02/18/2023, 01:21 PM

Attention all Data Science enthusiasts! We're thrilled to announce that our club is kicking off a series of exciting events that cover a wide range of topics in data analytics, computer vision, natural language processing, and machine learning in robotics. First up, we have a speech and Q&A session with Professor Ernazar Abdikamalov, a renowned researcher who uses machine learning in physics. Following that, we'll hear from experts in the industry, including representatives from Kolesa Group and Jusan Group. And to wrap up the series, we're hosting a sponsored hackathon on data analytics! This is a fantastic opportunity to expand your knowledge, network with industry professionals, and put your skills to the test. Stay tuned for more information on the dates and details of each event. Link to our Instagram We can't wait to see you there! #DataSci#DataAnalytics#ComputerVision#NLP#MLinRobotics💻🔬🤖