MTH 654/659 (Numerical Analysis) Fall 2013
Finite Element Methods for Partial Differential Equations
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General information
Textbook and resources
Assignments
General information
Instructor: Malgorzata Peszynska
Class: MWF 9:00-9:50, STAG 107, CRN: 14058 ( MTH 654 ) or 14059 ( MTH 659 )
Syllabus: The Finite Element Method (FEM) is a numerical method for solving partial differential equations. It provides foundation for most contemporary methods of analysis and discretization applied to engineering design, computational fluid dynamics, and mass and energy flow and transport. Please read Course Announcement for more information.
In the course we will develop the mathematical foundations and algorithmic aspects of FEM. Topics will include error estimates, stability analysis, grid adaptivity, and implementation issues. We will focus on Galerkin (conforming) methods for linear stationary problems but, time permitting, nonlinear and nonstationary problems, and other FE dialects will be also discussed. The necessary mathematical background in functional analysis, numerical integration, interpolation and approximation theory will be developed. The assignments will be a mixture of theoretical and computational exercises. For implementation, templates will be provided both in MATLAB and via public-domain libraries.
Students: The course is intended for graduate students of mathematics and various science and engineering disciplines. The basics of real variables, differential equations, and linear algebra are required. Familiarity with numerical methods, partial differential equations, and computer programming are a plus but are not required.
The assignments will be a mixture of theoretical and computational exercises. Please contact the instructor with questions.
Course Outcomes: A successful student will be able to
  • Set-up variational setting of elliptic BVPs in Hilbert spaces and their Finite Element approximation
  • Use a variety of Finite Element spaces and determine an appropriate order of convergence theoretically and numerically
  • Carry out an implementation and convergence tests of finite element algorithms using provided templates

Special arrangements for students with disabilities, make-up exams etc.: please contact the instructor and Services for Students with Disabilities, if relevant, and provide appropriate documentation.
Course drop/add information is at http://oregonstate.edu/registrar/.