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SUMMARY:Finite Volumes for Complex Applications 8
DTSTART:20170612T060000Z
DTEND:20170616T160000Z
DTSTAMP:20260904T165900Z
UID:indico-event-1299@indico.math.cnrs.fr
DESCRIPTION:Objectives of the conference\n\nThe finite volume method in it
 s numerous variants is a space discretization technique for partial differ
 ential equations based on the fundamental physical principle of conservati
 on. It has been used successfully in many applications including fluid dyn
 amics\, magnetohydrodynamics\, structural analysis\, nuclear physics\, and
  semiconductor theory. Recent decades have brought significant success in 
 the theoretical understanding of the method. Many finite volume methods pr
 eserve further qualitative or asymptotic properties including maximum prin
 ciples\, dissipativity\, monotone decay of the free energy\, or asymptotic
  stability. Due to these properties\, finite volume methods belong to the 
 wider class of compatible discretization methods\, which preserve qualitat
 ive properties of continuous problems at the discrete level. This structur
 al approach to the discretization of partial differential equations become
 s particularly important for multiphysics and multiscale applications.\n\n
 The goal of the conference is to bring together mathematicians\, physicist
 s\, and engineers interested in physically motivated discretizations. Cont
 ributions to the further advancement of the theoretical understanding of s
 uitable finite volume\, finite element\, discontinuous Galerkin and other 
 discretization schemes\, and the exploration of new application fields for
  them are welcome.\n\n \n\nMain Focus\n\n\n    Design and analysis of num
 erical methods    \n    Preservation of physical properties on the disc
 rete level    \n    Convergence\, stability\, a priori and a posteriori
  error analysis    \n    Applications at the interface with other disci
 plines    \n    HPC\, parallel computing    \n    Industrial applica
 tions    \n    Model reduction and multiscale methods    \n    High-
 order methods    \n    Uncertainty quantification and stochastic proble
 ms\n\n\n \n\nPartners\n\n\n    \n        \n            \n            \n  
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 rs.fr/event/1299/
IMAGE;VALUE=URI:https://indico.math.cnrs.fr/event/1299/logo-1231160747.png
LOCATION:Université Lille 1
URL:https://indico.math.cnrs.fr/event/1299/
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