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Contact:

Dr. Mikko Karttunen
Tel: (519) 661-2111 ext. 88790
Fax: (519) 661-3523
Email: mkarttu [at] uwo.ca

Events:

Finite Element Method AM4613B/9595:

We will cover the basics of the Finite Element Method (FEM). FEM is a very powerful and general method, and we will focus on the general aspects and the background of the method. After gaining the necessary theoretical background during the first half of the course, in the second half we put the ideas and concepts into practise and study the methods from the computational point of view. This second half will contain a good amount of programming, and it is essential that the students have a good background in C, C++, Java, Fortran or comparable. The course also contains a project work which is of computational nature.

Weekly lecture schedule (with on-line material)

Problem sets

More on the finite element method and related matters

  1. FEM Books:

    • S.C. Brenner and L.R. Scott, The Mathematical Theory of Finite Element Methods, Springer-Verlag, 1994
    • A. Tveito and R. Winther: Introduction to Partial Differential Equations; A computational Approach, Springer, 1998
    • C. Johnson: Numerical Solution of PDEs by the Finite Element method, Cambridge University Press, 1995.
    • D. Braess: Finite Elements; Theory, Fast Solvers, and Applications in Solid Mechanics, Cambridge University Press, 1997.
    • O.C. Zienkiewicz and R.L. Taylor: The Finite Element Method, Vol. 1: The Basis, Butterworth-Heinemann, 2000.
    • O.C. Zienkiewicz and R.L. Taylor,:The Finite Element Method, Vol. 2: Solid Mechanics, Butterworth-Heinemann, 2000.
    • O.C. Zienkiewicz and R.L. Taylor: The Finite Element Method, Vol. 3: Fluid Dynamics, Butterworth-Heinemann, 2000.
    • Huebener, Dewhirst, Smith and Byrom: The Finite Element Method for Engineers (Wiley)
    • Solin: Partial Differential Equations and the Finite Element Method (Wiley)
    • H. Grandin Jr.: Fundamentals of the Finite Element Method (MacMillan)
    • Strang/ and Fix: An Analysis of the Finite Element Method (Wellesley-Cambridge)

  2. Matrices, linear algebra:

    • Golub and van Loan: Matrix Computations (Johns Hopkins).

  3. Web resources related to FEM + FEM software:

  4. Programming + friends: