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Explore the latest developments in InfiniteOpt.jl, an algebraic modeling language designed for infinite-dimensional optimization problems in this 27-minute conference talk. Discover how this Julia package enables intuitive modeling and rapid solving of complex optimization challenges across diverse application areas including optimal control, two-stage stochastic programming, and PDE-constrained optimization. Learn about recent key advancements including specialized support for infinite-dimensional generalized disjunctive programming problems, tailored GPU workflows that accelerate nonlinear model predictive control, and the integration of infinite-dimensional surrogate models. Gain insights into the future development roadmap and understand the broader perspective on where this powerful optimization tool is heading in the Julia ecosystem.
