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Explore a comprehensive conference talk introducing UncertaintyQuantification.jl, a generalized framework for uncertainty quantification in Julia. Learn about the extensive development of this package since its initial 2020 release and discover the numerical algorithms it provides for quantifying and propagating uncertainties. Examine a significant subset of currently available features through illustrative numerical examples drawn from various engineering disciplines that demonstrate the capabilities of the implemented algorithms. Gain insights into how this mature framework can enhance your uncertainty analysis workflows and understand its practical applications across different scientific and engineering domains. Discover the evolution of this important Julia package and its contribution to the broader scientific computing ecosystem.
