GAMM Rundbrief 2002/Heft 2

Wissenschaftliche Tagungen 83
March 01, 2003: Notification of acceptance (oral or poster). Start of registrations.
Preliminary programme is drawn up and made
available on the Web site.
May 01, 2003: Deadline for registration at a reduced fee. Registration
deadline for authors of oral presentations. Final programme
available on the Web site.
June 30, 2003: Deadline for the reservation of pre-booked hotel rooms.
The 5th European Fluid Mechanics Conference will be held at the Centre des Congrès
Pierre Baudis in Toulouse (France) and is organised by the Local Organising
Committee from the Institut de Mécanique des Fluides de Toulouse.
Jacques Magnaudet (Chairman); Jean Fabre (Treasurer); France Alquier (Secretary)
Jean-Félix Alquier; Alessandro Bottaro; Catherine Colin; Patricia Ern; Frédéric Risso.
EFMC2003 Conference Office
Address: Institut de Mécanique des Fluides de Toulouse
Allée Camille Soula
31400 Toulouse, France
Fax: + 33 (0)5 61 28 59 42
E-mail: efmc2003@imft.fr
Web: www.imft.fr/efmc2003/
All correspondence can be directed to the EFMC2003 Conference Office.
The conference will be held at the: Centre des Congrès Pierre Baudis, 11 esplanade
Compans Caffarelli 31000 Toulouse.
September 08 - December 13, 2003
Inverse Problems: Computational Methods and Emerging Applications
IPAM, UCLA, Los Angeles
First Announcement of a Special Semester.
Inverse problems are problems where causes for a desired or an observed effect are to
be determined. They have, nearly always driven by applications, been studied for nearly
a century now. An important key feature, both theoretically and numerically, of inverse
problems is their ill-posedness, i.e., they do not fulfill Hadamard´s classical
requirements of existence, uniqueness and stability, under data perturbations, of a
solution: Solutions of an inverse problem might not exist for all data (e.g., a consistent
temperature history exists only for a very smooth final temperature in the model of the
classical heat equation), it might not be unique (which raises the practically relevant
question of identifiability, i.e., the question if the data contain enough information to
determine the desired quantity), and it might be unstable with respect to data
perturbations. The last aspect is of course especially important, since in real-world
problems, measurements always contain noise (another source of noise being errors in
numerical procedures), and approximation methods for solving inverse problems which
are as insensitive to noise as possible have to be constructed, so-called regularization
methods.