Welcome to the public homepage of Math F615 Numerical Analysis of Differential Equations, Spring 2023, in the Dept. of Mathematics and Statistics at the University of Alaska Fairbanks.
Instructor: Ed Bueler
Email me at firstname.lastname@example.org. I hold office hours in Chapman 306C.
Canvas course page
Log in to canvas.alaska.edu/courses/13208 for the Zoom lecture link, Homework solutions, and to see your grades.
Attend lectures: MWF 10:30–11:30am in Brooks 302.
Read the Syllabus (PDF).
See the Schedule (PDF). Check it often for due dates, and for which topics come next!
Check out the near-weekly homework Assignments.
There are two Exams, a Midterm and a Final. Both are in class, and the Final will happen at the scheduled time. See the Exams tab for review guides.
You will do a Project on a topic of your choice, starting with a Proposal. Please read the materials on the Project tab before you turn in anything.
Homework and projects will require some programming in Matlab/Octave or some other suitable scientific computing language. See the Computing tab and Programming languages compared (PDF) for recommended languages.
What are we studying? Check out these Wikipedia pages:
- partial differential equations (PDEs)
- ordinary differential equations (ODEs)
- numerical methods for PDEs
- numerical methods for ODEs
- finite difference methods
- Poisson equation
- diffusion and heat equations
- advection equations
- stiff differential equations
- explicit versus implicit methods
- Runge-Kutta methods
- Lax equivalence theorem for finite difference methods
See the one-page advertisement (PDF) for this course.
Site design derived from coordinated Calc I, an original Jekyll design by David Maxwell.