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401-3660-20L 4 Credits MSC D-MATH

Numerical Analysis Seminar: Tensor-Structured Methods in Scientific Computing

Lecturers & Examiners: Dr. Maksim Rakhuba
Number of participants limited to 6. Priority will be given to MSc students who did not complete a seminar.
VVZ CR n/a

Last Updated: 2026-02-05 15:41:17

Abstract

In the last decade, there has been active development of tensor methods for high-dimensional problems emerging from scientific computing and data analysis applications. Their goal is to approximate the arising multidimensional data with a small number of parameters using tensor decompositions. In this seminar, we focus on the advances in this field in the context of partial differential equations.

General Information

Language
English
Levels
MSC

Examination

Type
ungraded semester performance
Passing grade will requirea) 1hr oral presentation with Q/A from the seminar group andb) typed seminar report (``Ausarbeitung'') of several key aspects of the paper under review.

Registration & Places

Limited places (Special selection)
Signup Start
06.01.2020
Signup End
24.02.2020
Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar Numerical Analysis Seminar: Tensor-Structured Methods in Scientific Computing
  • 18.02 Date 10:15-12:00 (HG F 26.1)
  • 25.02 Date 10:15-12:00 (HG F 26.1)
2 h weekly

Offered In

  • Mathematics Master
    • Seminars and Semester Papers
      • Seminars (This semester, many seminars have a waiting list with special selection procedure. If no other criteria apply, a definitive registration will be granted first of all to students who haven't got another seminar registration. Here is the best procedure for dealing with two waiting lists: first choose your preferred seminar and afterwards choose an alternative seminar.)