Learn how FreeFem++ can:
- Construct, adapt, manipulate meshes
- Define variational problems with real, complex, scalar or vector values
- Solve linear systems with a wide range of solvers
- Use easy integrated parallel methods.
You will then be able to practice these skills using FreeFem++ in a practical computing workshop.
This workshop is lead by expert FreeFem++ trainers and authors Ionut Danaila, Victorita Dolean and Frédéric Hecht. Experienced FreeFem++ users will also be available to help during the practical sessions.
More InformationWho is this course useful for?
- Anyone wanting to model and solve partial differential equations (PDEs) numerically with minimal programming
- A numerical analyst wanting to learn how to easily implement a variety of Finite Elements and high performance solvers
- Any novice user of FreeFem++ who wants practical help and more understanding of the capabilities of FreeFrem++
- A mathematical modeller wanting to gain an overall view of the current and future capabilities of FreeFem++ and its user-friendliness
- Someone with a large scale PDE problem which needs a parallel solver and would like to hear how easily FreeFem++ can help
The programme starts at 1pm and finishes at 5pm.
The session will be approximately divided into two halves by a refreshment break.
- Basic features in FreeFem++: solving standard PDEs (Laplace,Stokes, linear elasticity, Maxwell, etc..) on simple geometries, mesh generation, linear solvers, visualisation
- Advanced features: mesh adaptation, parallel solvers, domain decomposition, nonlinear optimisation tools, eigenvalue problems, linking one’s own C++ code with FreeFem++
- Latest developments and future trends in FreeFem++
Practical introduction to Freefem++
- Numerical modelling from scratch of a simple physical example using the basic features of FreeFem++
- Two and three dimensional examples using mesh adaptation
- Parallel examples: direct solvers, iterative parallel solvers using domain decomposition (hpddm library)
The costs are: Academics ( external to Strathclyde) £95, Strathclyde Academics £80, PhD Students £65
There are 45 places available and booking is through the university online shop.
Please contact us if you need more information.