Software and Tools for Computational Engineering


Student work

Talk to us to learn more about the following topics:

  • American Monte Carlo Simulation in Quantitative Finance
  • Adjoint Methods for Parameter Calibration
  • Algorithmic Differentiation of C# code
  • Discrete Adjoint-Based Optimization with OpenFOAM
  • Recursion and Optimal Data Flow Reversal
  • Adjoint CUDA Code


  • Ebadollah Varnik, Exploitation of Structural Sparsity in Algorithmic Differentiation, Dr. rer. nat., RWTH Aachen, 2011
  • Markus Beckers Toward Global Robust Optimization, Dr. rer. nat., RWTH Aachen, 2014
  • Michael Förster Algorithmic Differentiation of Pragma-Defined Parallel Regions, Dr. rer. nat., RWTH Aachen, 2014
  • Michel Schanen Semantics-Driven Adjoints of MPI Programs, Dr. rer.nat., RWTH Aachen, 2014
  • Johannes Lotz, Hybrid Approaches to Adjoint Code Generation with dco/c++, Dr. rer. nat., RWTH Aachen, 2016