[cmath] Domain Decomposition Short Course and Applied Workshop, Aug 3-8, 2015, Halifax NS

Ronald Haynes rhaynes at mun.ca
Mon Apr 6 06:29:22 EDT 2015


Registration now open for:

"Domain Decomposition Methods for PDEs" Short Course + Collaborative 
Workshop,
organized by the Atlantic Association for Research in the Mathematical 
Sciences (AARMS)
Collaborative Research Group in Numerical Analysis and Scientific Computing,
Aug. 3 (evening), 2015 --- Aug. 8, 2015 -  Halifax, NS, Canada


The use of computational methods to treat mathematical models in science 
and engineering
is widespread. Such models often involve PDEs, and the efficiency of 
these algorithms on modern
high performance computing systems relies on the ability to parallelize 
the computations.
The aim of this workshop is to provide an introduction to the state of 
the art in theory
and practical applications of domain decomposition (DD)  methods for 
PDEs.  DD methods
are a divide and conquer approach to solving PDEs, splitting the global 
problem into small pieces whose
solutions are obtained on individual processors or cores.  These local 
solutions are then recombined to
give a solution to the global problem.

The program will begin with a two-day short course given by Prof. Martin 
Gander (Geneva).Prof. Gander is an internationally recognized leading 
expert in Schwarz methods - a class of DD methods for steady state and 
time dependent PDEs. Prof. Gander has taught similar courses in Europe 
and Asia.
The middle component of the program will focus on presentations by
researchers whose work may benefit from the use of DD methods for PDEs 
arising as
mathematical models in practical applications. The final segment of the 
program will feature
a workshop format in which breakout teams  will investigate the process 
of introducing DD techniques into the numerical simulations that arise 
in the applications identified earlier.  This segment will also include 
several talks by researchers working in DD methods.

The organizers invite participation by researchers in DD methods for 
  PDEs, researchers working
in applied PDEs whose work may benefit from the use of DD methods for 
PDEs, and students and post docs. The program will have room for 5 - 8 
talks by researchers in application domains. Researchers, students and 
post-docs will also participate through the collaborative workshop teams.

Confirmed DD experts include David Keyes (Kaust), Victorita Dolean 
(Nice) and Felix Kwok (Hong Kong Baptist).

Some funding for students will be available.
More information with links for  accommodations and registration are 
available through
http://www.math.mun.ca/anasc/ddworkshop.html

Sincerely,

Herman Brunner (Hong Kong Baptist and Memorial)
Ronald D. Haynes (Memorial)
David Iron (Dalhousie)
Scott MacLachlan (Memorial)
Paul Muir (Saint Mary's)


-- 
Best,
R Haynes

Dr. Ronald D. Haynes (PhD)
Associate Professor
Department of Mathematics and Statistics
Memorial University of Newfoundland
St. John's, Newfoundland, Canada, A1C 5S7
Ph: (709)-864-8825
rhaynes at mun.ca

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