Optimization In Julia Part1

Summary

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Demonstration of how to use the In this video, we dive into the powerful combination of JuMP, GLPK, and CDDLib to solve linear programming problems efficiently. PATRICK KOFOD MOGENSEN, UNIVERSITY OF COPENHAGEN In this workshop we will introduce the two main packages ... Speaker: David P. Sanders Set computations with interval arithmetic allow us to write surprisingly efficient software for guaranteed ... In this tutorial, we start a series creating a nonlinear You might not know all of the latest methods in differential equations, all of the best knobs to tweak, how to properly handle ... ... turns out that in some setups step Find Juan Pablo Vielma's slides here: juan-pablo-vielma.github.io/presentations/JULIACON_2020.pdf Contents 00:00 ... In this series, we're gonna define our own model manually. This is useful when you know how to efficiently compute the objective ...