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

Publications

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. …

A stencil scaling approach for accelerating matrix-free finite element implementations

We present a novel approach to fast on-the-fly low order finite element assembly for scalar elliptic partial differential equations of …

Contact

  • Boltzmannstr. 3
    85748 Garching