AMATH 586
Numerical Analysis of Time Dependent Problems
SLN 10225, MWF 2:30-3:20, MUE 153
Instructor:
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Professor Randall J. LeVeque
Guggenheim 408A
tel: 685-3037
fax: 685-1440
rjl@@amath.washington.edu
office hours: MW 3:30-4:30, F 1:30-2:30
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|
TA:
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Yiyi Shi
shiyiyi@u.washington.edu
office hours: TTh 3:30-4:30 in GUG 415 or 415L
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Announcements: HW4 now due 6/2.
Moodle page
for homework submission
Moodle
discussion forum
Homework assignments (also corrections, hints, ...)
Additional reading, references, handouts, slides from
lectures, etc.
Final Project
Course Description
Numerical methods for time-dependent differential equations. One-step,
multi-step methods. Stiff equations, implicit methods. Hyperbolic and
parabolic equations. Stability and convergence theory.
Prerequisites
AMath 581 or AMath 584
Syllabus
The main topic is finite difference methods for time-dependent differential
equations.
- Numerical methods for ODEs (initial value problems)
- Consistency, convergence
- Zero stability and absolute stability, stability regions
- Linear multistep and Runge-Kutta methods
- Stiff problems, BDF methods
- Choice of method
- Numerical Methods for time-dependent partial differential equations
- Hyperbolic and parabolic equations
- Explicit and implicit methods
- Lax-Richtmyer stability, von Neumann analysis
- Method of lines approach, relation to stiff ODEs
- Introduction to finite volume methods, shock capturing methods
- High order methods
- Mixed equations, e.g., advection-reaction-diffusion equations
Textbook
- Finite Difference Methods for Ordinary and
Partial Differential Equations
by R.J. LeVeque. (SIAM, 2007)
It will be available in the bookstore, but note that
members of SIAM receive a 30% discount if you buy it online, and all UW
students are eligible for free membership in SIAM, see
- Handouts
Other references:
- J. D. Lambert, Numerical methods for ordinary differential
systems:
the initial value problem, Wiley, 1991.
- A. Iserles. Numerical Analysis of Differential Equations.
Cambridge University Press, 1996.
- J. C. Strikwerda, Finite difference schemes and partial
differential equations, Wadsworth & Brooks/Cole, 1989.
Grading
Homework: 50%, midterm exam: 25%, final project: 25%. There will probably be
4
homework assignments.