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Computational Mathematics: Contents



LiU - MAI > Beräkningsmatematik > index.en

NEWS



Per Weinerfelt
adjunct professor, began on April 1st.
Hannes Frenander
new Graduate student, began on January 9th. Jan Nordström will be his supervisor.
Jan Nordström
has recieved funding for a PhD student from The Swedish e-science Research Centre (SeRC) which is formed by the universities in Stockholm and Linköping (KTH, Linköping University (LiU), Stockholm University (SU) and Karolinska Institutet (KI)). around the two largest high-performance computing (HPC) centres in Sweden: PDC at KTH and NSC at LiU.
Frida Johansson
new Graduate student, began on November 1st. Jan Nordström will be her supervisor.
Ossian O'Reilly
new graduate student, began on November 1st. Jan Nordström will be his supervisor at LiU, his supervisor at Department of Geophysics on Stanford University is Professor Eric Dunham.
Jan Nordström
The organizers of the April, 2012, workshop "Nonlinear solvers for high-intensity focused ultrasound with application to cancer treatment" have invited Jan Nordström as one of the invited participants at their workshop. This workshop, sponsored by AIM and the NSF, will focus on numerical techniques for the solution of nonlinear acoustic problems with application to cancer treatment by means of high-intensity focused ultrasound. The event will take place April 9 to April 13, 2012, at the American Institute of Mathematics (AIM) in Palo Alto, California. The workshop is being run through the AIM Research Conference Center (ARCC). ARCC will pay all the expenses associated with the participation in this workshop.

Welcome to the Division of Computational Mathematics


Flows with Shocks

Wave propagation and Earthquakes

Fluid Structure Interaction


Conjugate Heat Transfer

Computational mathematics is the branch of applied mathematics that develops and analyses numerical methods and algorithms for the solution of mathematical problems mainly from science and engineering. Important topics are well-posedness of the governing partial differential equations and convergence of the related numerical approximation. Topics such as accuracay, stability and efficiency of the numerical approximations, software aspects and computer implementation are important. The research is directed towards the solution of time-dependent partial differential equations. A short summary of present activities is given below.

We have develop high order accurate and stable finite difference methods and the analyse and improve the boundary treatment of finite volume methods. Another line of work deals with the development and implementation of boundary conditions for the Euler and Navier-Stokes equations. Future applications will include more coupled multi-physics problem. We are interested in well posedness for multiple equations sets as well as stable numerical coupling procedures. We consider various kinds of uncertainties in the data or parameters of the problem and aim for a computational methodology that delivers an answer with error bars.

The research discussed above is done in collaboration with NASA Langley Research Center, Center for Turbulence Research (CTR) at Stanford University and Southern Methodist University (SMU) in USA, University of the Witwatersrand (WITS) and the Council for Scientific and Industrial Research (CSIR) in South Africa, Nanospace AB, the Swedish Defence Research Agency (FOI) and Uppsala University in Sweden.

The base funding is from Linköping University while the external research is funded by Swedish Research Council, the Swedish National Space Board, the Higher Educational Comission of Pakistan, the DOE supported Predictive Science Academic Alliance Program and the European Union FP7 project IDIHOM.

We teach at a number of programs at the Institute of Technology and the Faculty of Educational Sciences.

The division has four professors (three of them are emeritus), two senior lecturers, one assistant lecturer, two postdocs and four graduate students.