First-order methods have sparked significant excitement for their ability to leverage GPUs, delivering rapid—though often less accurate—solutions to massive linear programming problems. But when are they the best option?

In this webinar, Gurobi’s Chief Scientist and Chairman of the Board, Dr. Ed Rothberg, explores powerful alternative approaches for solving these complex models in parallel. Discover the tradeoffs, gain critical context to evaluate results, and uncover how these methods can drive impactful advancements in optimization. Whether you’re a researcher, practitioner, or simply curious about the latest innovations, this session will equip you with fresh insights and practical knowledge.