Computational and Data-Driven Mathematics
6 Items
- Numerical analysis and scientific computing
- Linear algebra and matrix computation methods
- Approximation theory and numerical stability
- Inverse problems and ill-posed systems
- Uncertainty quantification and propagation
- Statistical learning theory (mathematical foundations only)
- Scalable algorithms for mathematical computation (theoretical focus)
- Discrete mathematics and combinatorial structures
- Graph theory and network mathematics
- Mathematical foundations of large-scale data analysis
