MatheLinux
← All research areas

Research

Active

Neural Networks & Optimization

Neural-network methods for pricing, hedging, and PDE solving, together with the convex and stochastic optimization that portfolio construction depends on.

Focus

  • Neural PDE solvers and hybrid ADI–NN schemes
  • Deep hedging
  • Convex and stochastic optimization
  • Portfolio construction

Publications & tools

Coming soon. Write-ups, notebooks, and tools from this research line will be published here.

Learn the groundwork