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Explore a 43-minute conference talk on solving equations and optimization problems with uncertainty. Delve into the detection of zeros in continuous functions with error bounds, extending theoretical work through explicit algorithms and implementation experiments. Learn how to apply this algorithm to approximate worst-case optima in optimization problems where the feasible domain is defined by the zero set of an approximately known function f : X → R^n. Gain insights into advanced mathematical concepts and their practical applications in solving complex equations and optimization challenges.
