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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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✅Специальный выпуск № 3 за 2024 г продолжает обзор, рассматривающий актуальные вопросы разработки полностью твердотельных литиевых аккумуляторов с использованием композитного материала на основе Li7La3Zr2O12 (LLZ). Обсуждается, что за счет введения различных добавок можно снизить температуру и/или время спекания твердого электролита при сохранении значений литий-ионной проводимости порядка 10^{–4} См/см при комнатной температуре. 🖌️Eugenia Ilyina (https://orcid.org/0000-0003-1759-5234) 📘Composite solid electrolytes based on Li7La3Zr2O12 for all-solid-state lithium power sources 📌Year 2024, Volume 3, Number 3 (Special Issue) https://doi.org/10.15826/elmattech.2024.3.038 🏛️Institute of High-Temperature Electrochemistry UB RAS https://ihte.ru/?page_id=3106 текст статьи https://journals.urfu.ru/index.php/elmattech/article/view/7769/5582 #CompositeSolidElectrolyte#Conductivity