05/03/2020

Least Squares PGD Mimetic Spectral Element Methods for Systems of First-Order PDEs

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  • ORGANISATION NAME
    Cardiff University
  • ORGANISATION COUNTRY
    United Kingdom
  • DEADLINE DESCRIPTION
    Open
  • RESEARCH FIELD
    Formal sciences

Outline

The goal of the project will be to develop a least squares PGD mimetic spectral element method for the Stokes problem. There will be theoretical and computational aspects to this strand of the research.

Least-squares spectral element methods for PDEs reformulate them into unconstrained minimisation problems. The exceptional stability of least-squares formulations has led to the widespread use of low-order finite elements in their discretization. Unfortunately, resulting finite element methods are only approximately conservative, which generally leads to violation of fundamental physical properties, such as loss of mass conservation. In many cases this drawback can outweigh the potential advantages of least squares methods. As a result, improving the conservation properties of least-squares methods has attracted significant attention.

What is funded

Self-funded students only. 

How to Apply: 

Applicants should submit an application for postgraduate study via the online application service : http://www.cardiff.ac.uk/study/postgraduate/research/programmes/programm...

In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided.

In the funding section, please select the ’self -funding’ option.

We are interested in pursuing this project and welcome applications if you are self-funded or have funding from other sources, including government sponsorships or your employer.

 

Disclaimer:

The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.