Tentative Program

This track focuses on the development and analysis of advanced numerical methods for solving complex mathematical problems. Contributions may include innovative algorithms and their applications in various fields of engineering and science.

This session invites papers that explore mathematical models representing complex systems across different domains. Emphasis will be placed on the interplay between theory and practical applications in real-world scenarios.

This track highlights the latest advancements in high-performance computing techniques aimed at enhancing simulation capabilities. Researchers are encouraged to present novel approaches that leverage computational power for solving large-scale problems.

This session will cover optimization algorithms tailored for engineering applications, focusing on both theoretical advancements and practical implementations. Topics may include linear, nonlinear, and combinatorial optimization techniques.

This track aims to bridge the gap between data analytics and applied mathematics through the exploration of statistical methods. Papers should address innovative techniques for analyzing and interpreting complex datasets.

This session will explore the role of parallel computing in enhancing the efficiency of mathematical modeling. Contributions should demonstrate how parallel algorithms can significantly improve computational performance.