Computational Mathematics

  • Computational Mathematics: theoretical and computational tools for the applied Sciences and Engineering
  • Scientific Computing: algorithms for continuous and discrete mathematical models, parallel and distributed computing, numerical simulation
  • Numerical Analysis: numerical methods for ordinary and partial differential equations, approximation of data and functions, numerical linear algebra
  • Mathematical Analysis and Modeling: ordinary and partial differential equations, functional analysis, variational models and methods, calculus of variations
  • Biomathematics: mathematical and numerical modeling in Biology, Physiology and Neurosciences
  • Mathematical Physics: kinetic theory, granular media, statistical mechanics, diffusion equations, hyperbolic systems, socio-economic modeling
  • Optimization and Operational Research: Optimization methods and algorithms, convex, integer, quadratic, and nonlinear programming, Control Theory