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  <title>The Mathematics Calendar</title>
  <link>http://www.math.psu.edu/seminars/calendar.php</link>
  <description>Seminars and special events at Penn State's mathematics department</description>
  <lastBuildDate>2008-05-12</lastBuildDate>
  <webMaster>webmaster@math.psu.edu</webMaster>

  <item>
   <title>Mimetic finite difference method for PDEs (special date 5/19)</title>
   <link>http://www.math.psu.edu/seminars/meeting.php?id=2291</link>
   <description>Speaker(s): Konstantin Lipnikov

ABSTRACT. A successful discretization method inherits or mimics 
fundamental properties of the underlying PDEs such as conservation 
laws, symmetries, solution positivity and maximum principle. 
Construction of such a method is made more difficult when the mesh 
is distorted so that it can conform and adapt to the physical domain 
and problem solution. The talk is about one such method - the mimetic 
finite difference (MFD) method. The MFD method is used to solve 
problems with full tensor coefficients on unstructured polygonal
and polyhedral meshes. Polyhedral meshes may include arbitrary elements:
tetrahedrons, pyramids, hexahedrons, degenerated and non-convex 
polyhedrons, generalized polyhedrons, etc. Modeling with polyhedral 
meshes has a number of advantages that will be addressed in the talk.

The MFD method has been applied successfully to several applications 
including diffusion, electromagnetics, acoustics, and gasdynamics. 
I present a general framework for building MFD methods, give examples
of discretizations of the gradient, divergence and curl operators on 
polygonal and polyhedral meshes, and review existing theoretical 
results including convergence estimates, orthogonal decomposition 
theorems, etc. I'll present in more details the MFD methods for solving 
a linear diffusion problem. I'll show how the method produces a family 
of schemes with equivalent properties and establish connections
with the mixed finite element, finite volume and multi-point flux 
approximation methods.</description>
   <pubDate>2008-05-12EDT15:30:00</pubDate>
   <category>CCMA PDEs and Numerical Methods Seminar Series</category>
   <author>&#108;&#105;&#117;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
   <author>&#109;&#97;&#116;&#104;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
   <author>&#112;&#115;&#117;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
  </item>

  <item>
   <title>&quot;Robust preconditioners for H(grad), H(curl) and H(div) systems with strongly discontinuous coefficients&quot;</title>
   <link>http://www.math.psu.edu/seminars/meeting.php?id=2722</link>
   <description>Speaker(s): Yunrong Zhu

Adviser:  Jinhcao Xu</description>
   <pubDate>2008-05-14EDT15:00:00</pubDate>
   <category>Ph.D. Thesis Defense</category>
   <author>&#104;&#97;&#108;&#112;&#101;&#110;&#110;&#121;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
  </item>

  <item>
   <title>Excellent swimmers</title>
   <link>http://www.math.psu.edu/seminars/meeting.php?id=2790</link>
   <description>Speaker(s): A. De Simone

We will discuss swimming strategies for microscopic swimmers and
recipes to optimize their stroke.</description>
   <pubDate>2008-05-15EDT11:00:00</pubDate>
   <category>Applied Analysis Seminar</category>
   <author>&#98;&#101;&#114;&#108;&#121;&#97;&#110;&#100;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
  </item>

  <item>
   <title>&quot;Modeling of Bacterial Suspensions&quot;</title>
   <link>http://www.math.psu.edu/seminars/meeting.php?id=2759</link>
   <description>Speaker(s): Vitaliy Gyrya

Adviser:  Leonid Berlyand</description>
   <pubDate>2008-05-16EDT10:30:00</pubDate>
   <category>Ph.D. Oral Comprehensive Examination</category>
   <author>&#104;&#97;&#108;&#112;&#101;&#110;&#110;&#121;&#64;&#109;&#97;&#116;&#104;&#46;&#112;&#115;&#117;&#46;&#101;&#100;&#117;</author>
  </item>

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