Research Focus: Difference between revisions

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* [[Research Focus]]
[[Image:Forschungsschwerpunkte.jpg]]
* [[Running Research and Development Projects]]
 
* [[Completed Research and Development Projects]]
== Efficient Numerical Algorithms ==
* Publications
* High-dimensional numerics – Sparse Grids
* Software Developments
* Fast iterative solvers – multi-level methods, preconditioners
* Adaptive, octree-based grid generation
* Space-filling curves
* Numerical linear algebra
* Numerical algorithms for image processing
 
== Parallel & High-Performance Computing ==
* HW-aware numerical programming
* Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
* Grid Computing
 
== Uncertainty Quantification ==
* Stochastic Collocation / gPC Methods for different simulation applications
* Sparse Grids in Uncertainty Quantification
 
== Computational Fluid Dynamics ==
* Discretisation and algorithms on adaptive Cartesian grids
* Fluid-structure interaction
 
== Fields of Application in Simulation ==
* Molecular dynamics
* Quantum chemistry
* CFD
* Traffic
* Computational Finance
 
== Integration of Simulation Tasks ==
* Problem solving environments
* Octree-based approaches
 
== Quantum Computing and Computational Physics ==
https://www5.in.tum.de/~quanTUMcomputing/


[[Category:Research]]
[[Category:Research]]

Latest revision as of 07:07, 9 October 2019

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Efficient Numerical Algorithms

  • High-dimensional numerics – Sparse Grids
  • Fast iterative solvers – multi-level methods, preconditioners
  • Adaptive, octree-based grid generation
  • Space-filling curves
  • Numerical linear algebra
  • Numerical algorithms for image processing

Parallel & High-Performance Computing

  • HW-aware numerical programming
  • Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
  • Grid Computing

Uncertainty Quantification

  • Stochastic Collocation / gPC Methods for different simulation applications
  • Sparse Grids in Uncertainty Quantification

Computational Fluid Dynamics

  • Discretisation and algorithms on adaptive Cartesian grids
  • Fluid-structure interaction

Fields of Application in Simulation

  • Molecular dynamics
  • Quantum chemistry
  • CFD
  • Traffic
  • Computational Finance

Integration of Simulation Tasks

  • Problem solving environments
  • Octree-based approaches

Quantum Computing and Computational Physics

https://www5.in.tum.de/~quanTUMcomputing/