From: Subject: Ph.D. Course on Iterative Methods for Large Linear Systems Date: Mon, 17 Feb 2014 10:07:47 +0100 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01CF2BC8.1BBA1FF0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.6157 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01CF2BC8.1BBA1FF0 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Content-Location: http://www2.compute.dtu.dk/~apek/ITSOL2014/ Ph.D. Course on = Iterative Methods for Large Linear Systems

Ph.D. Course on

Iterative Methods for Large Linear Systems

Lyngby, March 10th to March 14th 2014 =

Ph.D. Course on Iterative Methods for Large Linear Systems

We offer a Ph.D. course on Iterative Methods for Large Linear = Systems.

The course is offered with support from the DTU Informatics Graduate = School=20 (ITMAN) and the Danish Center for Applied Mathematics and Mechanics = (DCAMM) at=20 Technical University of Denmark.

The aim of the course is to introduce the students some of the most = widely=20 used iterative techniques for solving large linear systems of equations, = and let=20 the students get some practical experiences working with the methods. =

The PhD course covers several widely used numerical linear algebra = techniques=20 for iteratively solving problems in a number of different scientific = areas with=20 focus on the methods and illustrated with Matlab examples. The goal is = to give=20 the student a set of "tools" that may be tried as they are, and also can = be=20 modified to be useful for particular applications.

Learning objectives:

A student who has met the objectives of the course will be able to:=20

  • Understand the basic ideas underlying modern iterative methods.=20
  • Understand how these methods are used as building blocks in = computational=20 algorithms.=20
  • Be able to choose the best method for a given problem.=20
  • Implement the iterative methods in MATLAB.=20
  • Skillfully perform numerical experiments.=20
  • Analyze and explain the observed behavior of the methods.=20
  • Understand important principles underlying the use of modern = iterative=20 methods in selected applications.=20
  • Identify and exploit the properties and structure of the = underlying=20 problem.

Requirements:

The students must have a fundamental knowledge of numerical analysis = and=20 linear algebra and must be able to program in Matlab. They are expected = to read=20 the first five chapters of the book before participating in the course. =

Responsible:

The course will be given by:=20

  • Prof. C. T. Kelley = (Department of=20 Mathematics,North Carolina State University,USA), tim_kelley@ncsu.edu

3D"DTU 3D"NC 3DDCAMM=20 =20
Lecturers
Organizer
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<= IMG=20 border=3D1 = src=3D"http://www2.compute.dtu.dk/~apek/ITSOL2014/images/folder.png"=20 height=3D230>

Richard Petersens Plads, DTU - Bygning 321, DK-2800 Lyngby
dcamm@mat.dtu.dk=20

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