Language: English
This talk presents HiGHS, the world's leading open-source solver for large-scale, sparse linear programming and mixed integer programming problems. We will discuss the types of problems handled by HiGHS, its solution methods, and some of the challenges we have faced in transforming them into software. We will also talk about scaling software, platforms, interfaces and maintaining the reliability of a widely used open-source project.
Ivet Galabova is the Development and Integration Manager of HiGHS, the world's leading open-source optimization software. Ivet is a mathematician and research software engineer with a strong interest in linear (LP), mixed integer (MIP) and quadratic (QP) programming problems, build systems and interfaces. Along with completing a PhD in Optimization and Operations Research at the University of Edinburgh, Ivet has been closely involved in the development of the HiGHS from the start of the project in 2017. HiGHS can be used via the HiGHS.jl package in Julia.