SIAM Conference on Optimization

개요

The SIAM Conference on Optimization showcases the latest research in the theory, algorithms, software, and applications of optimization. It brings together mathematicians, operations researchers, computer scientists, engineers, software developers, and practitioners, fostering an ideal environment for exchanging new ideas and addressing significant challenges. The conference serves as a platform for specialists and users of optimization in academia, government, and industry to collaborate and share insights. Included Themes: Foundational Themes: Conic and linear optimization Derivative-free optimization Game theory and equilibrium problems Geometric perspectives in optimization Graphs and network optimization Integer optimization Nonlinear optimization PDE-constrained optimization Polynomial and global optimization Stochastic and robust optimization Variational inequalities and nonsmooth optimization Application Themes: Optimization in data science Optimization in health care Optimization in energy Optimization in control systems Optimization in quantum computing Optimization in science and engineering Optimization in machine learning/artificial intelligence

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