Model Calibration and Parameter Estimation with JuliaSim Model Optimizer

Learn how to match models with data through automated model calibration and parameter estimation in this 51-minute webinar from JuliaHub. Discover the process of solving inverse problems using the JuliaSim Model Optimizer to find optimal parameter fits for complex data sets. Master techniques for setting up modeling problems, creating inverse problems for parameter estimation, and generating visualizations of optimized parameters. Explore JuliaSim's unique model autocomplete feature that leverages universal differential equation symbolic model recovery to predict model extensions and accelerate the modeling process. Led by experienced JuliaSim Sales Engineer Jacob Vaverka, who brings extensive expertise in mathematical modeling, full-stack development, and data visualization to demonstrate how to effectively deploy scientific applications in high-performance computing environments.