Daniel Drzisga

Daniel Drzisga

PhD student in Numerical Mathematics

Technical University of Munich

Interests

  • Computational Fluid Dynamics
  • High-Performance Computing
  • Multigrid Methods
  • Matrix-free iterative solvers and preconditioners
  • Isogeometric Analysis

Education

  • MSc in Mathematics in Science and Engineering, 2015

    Technical University of Munich

  • BSc in Mathematics, 2013

    Technical University of Munich

Experience

 
 
 
 
 

Research assistant

Technical University of Munich

Nov 2019 – Present Garching, Germany
PhD student in mumerical mathematics
 
 
 
 
 

Intern

Lawrence Livermore National Laboratory

Aug 2019 – Nov 2019 Livermore, California
Internship on matrix-free preconditioners for MFEM
 
 
 
 
 

Research assistant

Technical University of Munich

Oct 2015 – Aug 2019 Garching, Germany
PhD student in mumerical mathematics

Publications

The surrogate matrix methodology: Accelerating isogeometric analysis of waves

The surrogate matrix methodology delivers low-cost approximations of matrices (i.e., surrogate matrices) which are normally computed in …

Stencil scaling for vector-valued PDEs on hybrid grids with applications to generalized Newtonian fluids

Matrix-free finite element implementations for large applications provide an attractive alternative to standard sparse matrix data …

The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis

A reference implementation of a new method in isogeometric analysis (IGA) is presented. It delivers low-cost variable-scale …

The surrogate matrix methodology: Low-cost assembly for isogeometric analysis

A new methodology in isogeometric analysis (IGA) is presented. This methodology delivers low-cost variable-scale approximations …

The surrogate matrix methodology: a priori error estimation

We give the first mathematically rigorous analysis of an emerging approach to finite element analysis (see, e.g., Bauer et al. [Appl. …

Contact

  • Boltzmannstr. 3
    85748 Garching