Advances in Optimization and Equilibrium Problems: methods and applications
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Organizer(s): |
Name:
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Affiliation:
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Country:
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Patrizia Daniele
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University of Catania
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Italy
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Laura Palagi
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University of Rome "La Sapienza"
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Italy
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Introduction:
| | The study of optimization and equilibrium problems plays a central role in a wide range of scientific disciplines, including mathematics, engineering, economics, and data science. This session aims to bring together researchers working on both theoretical and applied aspects of optimization and equilibrium theory, with a special focus on recent advances in methods and innovative applications. Topics of interest include, but are not limited to, convex and non-convex optimization, variational inequalities, game theory, fixed-point problems, and saddle-point formulations. Contributions exploring numerical methods, algorithmic developments, and convergence analysis are particularly welcome, as well as those addressing computational challenges and large-scale problems.
A key goal of the session is to foster cross-disciplinary dialogue, highlighting how novel mathematical approaches to optimization and equilibrium can provide effective tools in real-world contexts such as machine learning, network analysis, energy markets, finance, and transportation systems. By bridging theory and practice, the session encourages contributions that not only deepen the understanding of complex systems but also offer tangible solutions to current challenges.
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