NEW: 101.A35, opens an external URL in a new window AKNUM: Iterative Solvers in Adaptive Finite Element Methods (VO 2,0) 2024W

The first meeting to decide the time/place of the lecture and provide informations will take place 

         on the 1st of October, at 12:00, in the seminar room DA 06 G14, opens an external URL in a new window 

To register please send me an e-mail (ani.miraci@asc.tuwien.ac.at)

 

Information:

  • Semester hours: 2.0

  • Credits: 3.0

  • Type: VO Lecture

  • Format: Presence

Learning outcomes: After successful completion of the course, students are able to...

  • formulate an adaptive mesh-refinement algorithm employing an iterative solver for elliptic PDEs

  • formulate an optimal complexity multilevel iterative solver

  • explain the robustness of the solver contraction with respect to the discretization parameters

  • how to derive a-posteriori error estimates for the algebraic and the discretization errors

  • how to derive stopping criteria for the iterative solver

  • state convergence and optimality of adaptive algorithms

Subject of the course:

  • introduction to the adaptive finite element method (AFEM)

  • introduction to multigrid methods (MG)

  • stable decomposititons and strengthened Cauchy—Schwarz inequalities

  • h- and p-robustness of the algebraic error contraction of multigrid

  • a-posteriori-steering and adaptivity in algebraic solvers

  • optimal convergence rates and optimal computational complexity of adaptive algorithms

Teaching methods: Presentation and proof of the mathematical results as well as of some numerical experiments

Mode of examination: Oral

The course is intended to be as self-contained as possible, nonetheless the following previous courses are recommended 

Language: English

  • AKNUM Iterative Solvers in Adaptive Finite Element Methods (2 VO, summer 2024)
  • Applied Mathematics Foundations (1 UE, winter 2024/25)

  • AKNUM : A posteriori error estimation and adaptive FEM (1 UE, summer 2024)
  • Applied Mathematics Foundations (1 UE, winter 2023/24)
  • Numerical methods for PDEs (2 UE, summer 2023)
  • Applied Mathematics Foundations (1 UE, winter 2022/23)
  • Numerical methods for PDEs (2 UE, summer 2022)
  • Applied Mathematics Foundations (1 UE, winter 2021/22)