Tentative Program

This track focuses on the latest developments in numerical methods for solving complex mathematical problems. Contributions that address both theoretical advancements and practical applications are encouraged.

This session invites papers that explore innovative mathematical models used in various scientific domains. Emphasis will be placed on the application of these models to real-world problems.

This track aims to gather research on statistical modeling techniques and their applications in data analysis. Topics may include regression models, time series analysis, and Bayesian statistics.

This session will highlight the development and implementation of algorithms designed for high-performance computing environments. Papers that demonstrate efficiency and scalability are particularly welcome.

This track explores the intersection of machine learning, artificial intelligence, and applied mathematics. Contributions should focus on novel algorithms and their applications in scientific computing.

This session will cover various optimization techniques and their applications in solving real-world problems. Papers that present new methodologies or case studies are encouraged.