22C:171/22M:171
Numerical Analysis II
Spring 2008
Contact/class information
| Instructor: |
David Stewart |
| Phone: |
335-3832 |
| Email: |
dstewart at math dot uiowa dot edu |
| WWW URL: |
http://www.math.uiowa.edu/~dstewart/ |
| Office: |
MLH 325B |
| Office hours: |
TBA |
| Class times: |
9:30am-10:20am MWF |
| Class location: |
218 MLH |
You can see me outside the office hours provided it is mutually
convenient.
Description
22C:171/22M:171 is about the numerical solution of differential equations
and matrix computations (linear equations, linear least-squares problems,
and eigenvalue/eigenvector problems).
Differential equations arise in almost every model of the physical
world (and many economic, biological, social and other systems as
well). Since most differential equations are too difficult to solve
exactly, numerical methods are commonly used to approximately, but
accurately, solve these equations. Numerical methods for solving differential
equations are essential for anyone interested in simulating continuous-time
systems.
Matrix computations arise in almost every area of computational mathematics.
Everyone interested in computational methods in the physical or applied
sciences should have some familiarity with methods for solving systems
of linear equations. As well, least-squares problems are very common
in statistics, approximation, and data analysis. Eigenvalues are used
to study stability and resonances in physical systems.
Textbook
Introduction to Numerical Analysis by K. Atkinson, J. Wiley
and Sons, 2nd Edition (1989). This course covers chapters six through
nine. 22C:170/22M:170 covers the first five chapters.
Syllabus
- Numerical solution of differential equations
- Euler's method
- Midpoint rule
- Runge-Kutta methods
- multistep methods
- error analysis (order of accuracy)
- stability
- Solution of systems of linear equations
- Gaussian elimination
- LU factorization
- error analysis, condition numbers and sensitivity
- pivoting (partial and complete)
- Least squares problems
- Normal equations
- Cholesky factorization
- QR factorization and orthogonalization
- Eigenvalue and eigenvector problems
- eigenvalue problems and decompositions
- symmetric matrices
- power method
- inverse power method
- introduction to the QR algorithm
Assessment
There will be a midterm exam and a final exam (20% each), homework
assignments (35%) which may include some programming, and a programming
assignment (25%). There may also be ungraded homework assigned during
the course.
Familiarity with MATLAB will be useful during the course. The programming
may be done in Matlab, C/C++, Fortran, Java, or other programming
languages provided it is acceptable to the instructor.
- Course plan: The course plan may be modified during
the semester. Such modifications will be announced in advance during
class periods; the student has responsibility for keeping up with
such changes. You should also make a habit of reviewing the ICON web
page for this course, which is accessible via: ICON http://icon.uiowa.edu/
This page will have homework details and other information posted
to it as the class progresses.
- Administration: The administrative home of this course
is The Department of Mathematics in the College of Liberal Arts and
Sciences: offices are in 14 McLean Hall (MLH). You can contact the
chair of the department through the Departmental Secretary at 14 MLH
or by calling 335-0714. Since the administrative home of this course
is the College of Liberal Arts and Sciences, which governs academic
matters relating to the course such as add/drop deadlines, second-grade-only
option, issues concerning academic fraud or academic probation, and
how credits are applied for various CLAS requirements. Please keep
in mind that different colleges might have different policies. If
you have questions about these or other CLAS policies, visit your
academic advisor or 120 Schaeffer Hall and speak with the staff. The
CLAS Academic Handbook is another useful source of information on
CLAS academic policy: www.clas.uiowa.edu/students/academic_handbook/index.shtml
- Disabilities: Please let you instructor know if you
have a disability that requires special arrangements. I need to hear
from anyone who has a disability which may require some modification
of seating, testing or other class requirements so that appropriate
arrangements can be made. Please see me after class or during my office
hours.
- Suggestions & complaints: Students have the right
to make suggestions or complaints and should first visit with the
instructor, then with the course supervisor if appropriate, and next
with the departmental DEO. All complaints must be made within six
months of the incident. http://www.clas.uiowa.edu/students/academic_handbook/ix.shtml#5
- Sexual Harassment: Sexual harassment subverts the
mission of the University and threatens the well-being of students,
faculty, and staff. Visit http://www.sexualharassment.uiowa.edu/
for definitions, assistance, and the full policy.
This document was generated using the
LaTeX2HTML translator Version 2002-2-1 (1.71)
Copyright © 1993, 1994, 1995, 1996,
Nikos Drakos,
Computer Based Learning Unit, University of Leeds.
Copyright © 1997, 1998, 1999,
Ross Moore,
Mathematics Department, Macquarie University, Sydney.
The command line arguments were:
latex2html -no_subdir -split 0 -show_section_numbers /tmp/lyx_tmpdir130673Lpg4T/lyx_tmpbuf29/22m171.tex
The translation was initiated by David Stewart on 2007-12-28
David Stewart
2007-12-28