COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > UPWIND FINITE ELEMENT METHODS FOR H(grad), H(curl) AND H(div) CONVECTION-DIFFUSION PROBLEMS

## UPWIND FINITE ELEMENT METHODS FOR H(grad), H(curl) AND H(div) CONVECTION-DIFFUSION PROBLEMSAdd to your list(s) Download to your calendar using vCal - Jinchao Xu (Pennsylvania State University)
- Tuesday 22 October 2019, 13:55-14:40
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact INI IT. GCS - Geometry, compatibility and structure preservation in computational differential equations This talk is devoted to the construction and analysis of the finite element approximations for the H(grad), H(curl) and H(div) convection-diffusion problems. An essential feature of these constructions is to properly average the PDE coefficients on sub-simplexes from the underlying simplicial finite element meshes. The schemes are of the class of exponential fitting methods that result in special upwind schemes when the diffusion coefficient approaches to zero. Their well-posedness are established for sufficiently small mesh size assuming that the convection-diffusion problems are uniquely solvable. Convergence of first order is derived under minimal smoothness of the solution. Some numerical examples are given to demonstrate the robustness and effectiveness for general convection-diffusion problems. This is a joint work with Shounan Wu. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- bld31
Note that ex-directory lists are not shown. |
## Other listsCraik Club Stephen Roskill Memorial Lecture Perspectives from Cambridge Assessment## Other talksTime-dependent conformal mapping techniques applied to fluid sloshing problems When the mind lingers - how sensory history impacts working memory illuminating active fault zones through correlation of optical satellite imagery LEARNING TO BUILD: HOW MACHINE LEARNING RESHAPES THE WAY WE DEVELOP HIGH-TECHNOLOGY PRODUCTS Tales of growth and buckling: Micro-pattern formation on petal surface cells Working with communities on language revitalisation: Some Australian experiences |