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Explore the latest developments in HiGHS, the world's leading open-source linear optimization software, in this 21-minute conference talk from The Julia Programming Language community. Discover ongoing efforts to bridge the performance gap between HiGHS and commercial optimization solvers through three key areas of advancement: the newly developed interior point solver for linear programming (LP) and quadratic programming (QP) problems, enhanced multi-threading capabilities within the mixed-integer programming solver, and cutting-edge research into GPU-based first-order methods for linear programming. Learn how the JuMP optimization modeling language has played a crucial role in facilitating these technological improvements and supporting the continued evolution of this powerful optimization toolkit.
