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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 #14941 · 07/10/2025, 01:00 PM

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#cplusplus#bindings#python **pybind11** is a tool that helps connect C++ and Python. It allows you to use C++ code in Python and vice versa. This means you can take advantage of C++'s speed and Python's ease of use. **pybind11** is lightweight and easy to use, making it simpler to create Python bindings for C++ code compared to older tools like Boost.Python. It supports many C++ features and works on multiple platforms, including Windows, Linux, and macOS. Using **pybind11** can make your programs smaller and faster to compile. https://github.com/pybind/pybind11

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