101.848 AKNUM Fast Algorithms for Boundary Integral Equations
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to recognize Volterra and Fredholm equations of first and second type, understand how the spectral properties of integral operators can lead to well-conditioned systems, understand how the Fast Multipole Method can perform a matrix-vector multiply within nearly linear complexity, understand the foundations of hierarchical matrices.

Subject of course

The main objective of this class is twofold: on one hand, to establish a connection between boundary value problems and boundary integral equations; on the other, to study discretization techniques for boundary integral operators. We shall begin by covering some classical results of potential theory (single and double layer potential, jump conditions) and see how they can transform a boundary value problem into an integral equation; we will restrict our attention to the Laplace and Helmholtz problems. We will discuss numerical discretization techniques, and focus on fast multipole methods; finally, we will see how those methods have lead to the concept of hierarchical matrices. Since this is an advanced class at the forefront of research, a tailored set of notes by the instructor will be provided.

Teaching methods

The course will be mostly taught through chalk lectures. Exercises will be assigned during class and discussed during exercise sessions.

Mode of examination

Oral

Lecturers

  • Gatto, Paolo

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 13:0002.03.2020Sem.R. DA grün 06B Presentation 101.848 Fast algorithms for boundary integral equations
Thu10:00 - 12:0005.03.2020 First Lecture, room DA 06 G14

Examination modalities

Oral examination.

Course registration

Begin End Deregistration end
19.02.2020 08:00

Curricula

Study CodeObligationSemesterPrecon.Info
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Previous knowledge

Basic concepts of functional analysis, Lebesgue integration theory, and numerical linear algebra.

Language

English