Bachelor’s Thesis

  • Description: Thesis with the title: “Dimension-wise Spatial-adaptive Refinement with the Sparse Grid Combination Technique”
  • Technology: Python, Pycharm, LaTeX
  • Scale: Four Months
  • Team Size: Only me
  • Biggest Learning: A good work-life balance is important as well as a sustainable approach to productivity (i.e., being able to work properly each day).


I wrote this bachelor’s thesis in my sixth term at the “Chair of Scientific Computing in Computer Science (SCCS)” of the TU Munich. The paper resolves around a dimension-wise approach to solve sparse grids more effectively and/or higher precision. For full details, click the link above.