У нас вы можете посмотреть бесплатно Gurobi Python Interface: Matrix-friendly Modeling Techniques или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
The recent release of Gurobi 9.0 includes a new set of API functions within the Gurobi Python interface ("gurobipy") that support matrix-oriented modeling. These new API functions greatly improve and simplify the process of building optimization models using matrix and vector expressions. Users can now define linear and quadratic constraints directly from matrix representations such as Numpy ndarrays or Scipy sparse matrices as well as retrieve result data (such as solutions) directly as ndarrays. In the webinar, we will: -compare the traditional, term-based modeling API with this newly introduced matrix-friendly API, -discuss the advantages of both approaches, -show typical usage patterns -and provide guidelines for achieving good modeling performance. Presenting this webinar is Dr. Robert Luce, Developer at Gurobi Optimization. Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin. -- Learn more about Gurobi Optimization here: https://www.gurobi.com/ Check out our Optimization Application Demos here: https://www.gurobi.com/resources/?cat... Check out our 2,400 customers: https://www.gurobi.com/customers/exam... -- About Gurobi Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability. As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes. Founded in 2008, Gurobi has operations across the USA, Europe, and Asia and more than 2,400 customers globally including Air France, Uber, and the National Football League (NFL). For more information, please visit https://www.gurobi.com/ or call +1 713 871 9341. -- Like Us: / gurobioptimization Follow Us: / gurobi Connect with Us: / gurobi-optimization #optimization #datascience #dataanalytics #machinelearning #analytics #gurobipy