(The following topics include but are not limited to)
Track 1: Application of Mathematical Theories and Methods
Linear Algebra and Matrix Theory
Ordinary Differential Equations and Partial Differential Equations
Complex Analysis and Real Analysis
Functional Analysis and Differential Geometry
Probability Theory and Mathematical Statistics
Stochastic processes and statistical inference
Operations research and optimization theory
Game theory and control theory
Combinatorics and discrete mathematics
Mathematical logic and set theory
Algebraic number theory and analytic number theory
Special functions and orthogonal polynomials
Mathematical modeling and nonlinear analysis
Chaos theory and stability analysis
Financial mathematics and statistical finance
Applications of computer mathematics
Track 2: Numerical analysis and scientific computing
Numerical computation and optimization methods
Numerical linear algebra
Finite element method and finite difference method
Iterative algorithms and approximate computation
Design and analysis of numerical solvers
Computational geometry and engineering algorithm design
Scientific computing and engineering numerical simulation
High-performance computing and parallel algorithms
Parallel and distributed computing simulation
Numerical solution of differential equations
Matrix computation and eigenvalue problems
Interpolation and approximation theory
Numerical integration and numerical differentiation
Algorithm efficiency, complexity and performance evaluation
Granular computing and soft computing methods
Numerical modeling and simulation system
Inverse problem numerical methods
Random numerical algorithms
Numerical methods in computational fluid dynamics
Multiscale numerical simulation
Track 3: Intelligent computing and optimization algorithms
Genetic algorithms and evolutionary computing
Particle swarm optimization and ant colony algorithm
Artificial fish swarm algorithm and swarm intelligence
Simulated annealing and tabu search
Immune algorithms and artificial immune system
Heuristic algorithms and meta-heuristic optimization
Hybrid intelligent algorithms and collaborative optimization
Neural networks and deep learning
Fuzzy logic and fuzzy systems
Rough set theory and knowledge discovery
Pattern recognition and data mining
Machine learning and intelligent data analysis
Reinforcement learning and adaptive learning
Quantum computing and DNA computing
Bio-computing and natural computing
Intelligent computing and optimization applications
Intelligent control and automation
Intelligent data fusion and prediction
Multi-objective optimization and parameter tuning
...