Professor Qin (Tim) Sheng
 
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The 8th AIMS Conference on Dynamical Systems, Differential Equations and Applications, 25-28 May 2010

Dresden University of Technology, Dresden, Germany

25-28 May 2010

 

Important Minisymposiums to Attend:

Minisymposium on
Decomposition Methods for Partial Differential Equations: Novel Theory and Applications
Organizers: Juergen Geiser, geiser@mathematik.hu-berlin.de, Qin Sheng, Qin_Sheng@baylor.edu

Abstract. In recent years, splitting, or decomposition, methods have become increasingly important for solving nonlinear and even singular partial differential equations. In this special session we will discuss the latest goals and results of the powerful numerical methods. Higher accuracy, efficiency and effectiveness will be among our topics in discussions. Iterative and non-iterative strategies associate with different adaptations will be incorporated. Novel decomposition schemes in time and space will be investigated and presented. Practical applications will be studied. Aims of this special session also include to bring together researchers in the aforementioned field, to highlight the current developments both in theory and methods, to exchange latest research ideas, and to promote further collaborations in the community. We wish to call papers for this special session which present the latest trends and literature to:

(1) decomposition for higher efficiency and accuracy
(2) decomposition for non-linear differential equations and dynamical systems
(3) stability and convergence of decomposition algorithms
(4) noniterative, iterative and adaptive decomposition methods
(5) decomposition methods in parallel and quantum computations
(6) apriori and aposterioir error-estimates in decompositions

We wish to discuss further developments in this fascinate field and exchange new ideas and promote collaborations!

 

Confirmed Invited Speakers

To be announced soon.

 

 

Link to Conference Information

Link to Conference Travel Support

Dresden Local Information

Link to Conference History

 

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