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<span><div>Registration now open for:</div>
<div>
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<div>“Domain Decomposition Methods for PDEs" Short Course +
Collaborative Workshop,</div>
<div>organized by the Atlantic Association for Research in the
Mathematical Sciences (AARMS)</div>
</div><div>Collaborative Research Group in Numerical Analysis and
Scientific Computing,</div><div>Aug. 3 (evening), 2015 — Aug. 8, 2015 -
Halifax, NS, Canada</div><div>
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<div>The use of computational methods to treat mathematical models in
science and engineering </div>
<div>is widespread. Such models often involve PDEs, and the efficiency
of these algorithms on modern</div>
<div>high performance computing systems relies on the ability to
parallelize the computations.</div>
<div>The aim of this workshop is to provide an introduction to the state
of the art in theory </div>
<div>and practical applications of domain decomposition (DD) methods
for PDEs. DD methods</div>
<div>are a divide and conquer approach to solving PDEs, splitting the
global problem into small pieces whose</div>
<div>solutions are obtained on individual processors or cores. These
local solutions are then recombined to </div>
<div>give a solution to the global problem.</div>
<div><br></div>
<div>The program will begin with a two-day short course given by Prof.
Martin Gander (Geneva).<span style="font-size: 15px;"><span
style="font-family: Calibri;"> </span></span><span style="font-size:
11.000000pt; font-family: 'Calibri'">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.</span></div>
<div>The middle component of the program will focus on presentations
by </div>
<div>researchers whose work may benefit from the use of DD methods for
PDEs arising as <br clear="none">
mathematical models in practical applications. The final segment of the
program will feature </div>
</div><div>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.</div><div>
<div><br></div>
<div>The organizers invite participation by researchers in DD methods
for PDEs, researchers working </div>
</div><div>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.</div><div><br></div>
<div>
<div>Confirmed DD experts include David Keyes (Kaust), Victorita Dolean
(Nice) and Felix Kwok (Hong Kong Baptist).</div>
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</div>
<div>Some funding for students will be available.</div>
<div>More information with links for accommodations and registration
are available through</div>
<div><a shape="rect">http://www.math.mun.ca/anas</a>c/ddworkshop.html</div>
<div>
<div><br></div>
<div>Sincerely,</div>
</div>
<div><br></div>
<div>
<div>
<div>Herman Brunner (Hong Kong Baptist and Memorial)</div>
</div>
<div>Ronald D. Haynes (Memorial)</div>
<div>David Iron (Dalhousie)</div>
<div>Scott MacLachlan (Memorial)</div>
<div>Paul Muir (Saint Mary’s)</div>
</div>
<br>
</span><br>
<div class="moz-signature">-- <br>Best,<br>
R Haynes<br>
<br>
Dr. Ronald D. Haynes (PhD)<br>
Associate Professor<br>
Department of Mathematics and Statistics<br>
Memorial University of Newfoundland<br>
St. John's, Newfoundland, Canada, A1C 5S7<br>
Ph: (709)-864-8825 <br>
<a class="moz-txt-link-abbreviated" href="mailto:rhaynes@mun.ca">rhaynes@mun.ca</a><br>
<br>
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