# 263-5001-00L  Introduction to Finite Elements and Sparse Linear System Solving

 Semester Autumn Semester 2016 Lecturers P. Arbenz Periodicity yearly recurring course Language of instruction English

### Courses

NumberTitleHoursLecturers
263-5001-00 VIntroduction to Finite Elements and Sparse Linear System Solving2 hrs
 Fri 08-10 CAB G 56 »
P. Arbenz
263-5001-00 UIntroduction to Finite Elements and Sparse Linear System Solving1 hrs
 Fri 10-11 CAB G 56 »
P. Arbenz

### Catalogue data

 Abstract The finite element (FE) method is the method of choice for (approximately) solving partial differential equations on complicated domains. In the first third of the lecture, we give an introduction to the method. The rest of the lecture will be devoted to methods for solving the large sparse linear systems of equation that a typical for the FE method. We will consider direct and iterative methods. Objective Students will know the most important direct and iterative solvers for sparse linear systems. They will be able to determine which solver to choose in particular situations. Content I. THE FINITE ELEMENT METHOD (1) Introduction, model problems. (2) 1D problems. Piecewise polynomials in 1D. (3) 2D problems. Triangulations. Piecewise polynomials in 2D. (4) Variational formulations. Galerkin finite element method. (5) Implementation aspects.II. DIRECT SOLUTION METHODS (6) LU and Cholesky decomposition. (7) Sparse matrices. (8) Fill-reducing orderings.III. ITERATIVE SOLUTION METHODS (9) Stationary iterative methods, preconditioning. (10) Preconditioned conjugate gradient method (PCG). (11) Incomplete factorization preconditioning. (12) Multigrid preconditioning. (13) Nonsymmetric problems (GMRES, BiCGstab). (14) Indefinite problems (SYMMLQ, MINRES). Literature [1] M. G. Larson, F. Bengzon: The Finite Element Method: Theory, Implementation, and Applications. Springer, Heidelberg, 2013.[2] H. Elman, D. Sylvester, A. Wathen: Finite elements and fast iterative solvers. OUP, Oxford, 2005.[3] Y. Saad: Iterative methods for sparse linear systems (2nd ed.). SIAM, Philadelphia, 2003.[4] T. Davis: Direct Methods for Sparse Linear Systems. SIAM, Philadelphia, 2006.[5] H.R. Schwarz: Die Methode der finiten Elemente (3rd ed.). Teubner, Stuttgart, 1991. Prerequisites / Notice Prerequisites: Linear Algebra, Analysis, Computational Science.The exercises are made with Matlab.

### Performance assessment

 Performance assessment information (valid until the course unit is held again) Performance assessment as a semester course ECTS credits 4 credits Examiners P. Arbenz Type session examination Language of examination English Repetition The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. Mode of examination oral 30 minutes This information can be updated until the beginning of the semester; information on the examination timetable is binding.

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### Offered in

ProgrammeSectionType
Biomedical Engineering MasterRecommended Elective CoursesW
Certificate of Advanced Studies in Computer ScienceFocus Courses and ElectivesW
Computer Science MasterFocus Elective Courses Computational ScienceW
MAS in Medical PhysicsElectivesW
Computational Science and Engineering BachelorElectivesW
Computational Science and Engineering MasterElectivesW