Applied Mathematics and Quantitative Modeling

Scope

This symposium focuses on theoretical and computational advances in applied mathematics, with an emphasis on quantitative modeling of complex systems. Financial systems will be considered as representative application scenarios, though contributions from other domains are also welcome.

Relevant topics include, but are not limited to:

• Nonlinear dynamical systems and complexity analysis
• Stochastic processes and probabilistic modeling
• Numerical methods and iterative algorithms
• Computational simulation and high-performance computing
• Data-driven and machine learning–assisted modeling
• Mathematical modeling of interconnected systems
• Stability, bifurcation, and chaos in applied systems
• Optimization techniques in large-scale systems
• Multiscale and high-dimensional modeling approaches
• Applications of mathematical methods in finance and other complex domains

Submissions should emphasize methodological rigor, theoretical contribution, or innovative applications, contributing to a deeper understanding of complex systems through quantitative and mathematical perspectives.