This track focuses on the latest developments in convex optimization methods and their applications across various fields. Participants are encouraged to present novel algorithms and theoretical insights that enhance the efficiency of convex optimization.

This session aims to explore cutting-edge approaches to nonlinear optimization problems, including both theoretical and computational advancements. Contributions that address challenges in convergence and stability are particularly welcome.

This track highlights the role of iterative methods in solving large-scale optimization problems efficiently. Researchers are invited to share their findings on new algorithms and their performance in practical applications.

This session will delve into stochastic optimization methods and their applications in uncertain environments. Papers discussing novel algorithms and case studies demonstrating their effectiveness are encouraged.

This track is dedicated to heuristic methods for global optimization, focusing on innovative strategies that overcome local optima. Participants are invited to present empirical studies and theoretical advancements in this area.

This session explores the application of variational methods in solving optimization problems, particularly in applied mathematics and engineering contexts. Contributions that bridge theory and application are highly encouraged.