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 elbueler@alaska.edu. I hold office hours in Chapman 306C.
Canvas course page
Log in to canvas.alaska.edu/courses/13208 for the Zoom lecture link, Homework and Exam solutions, and to see your grades.
Getting Started

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 nearweekly 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
 RungeKutta methods
 Lax equivalence theorem for finite difference methods

See the onepage advertisement (PDF) for this course.
Site design derived from coordinated Calc I, an original Jekyll design by David Maxwell.