Math/CS 467/667
Math/CS 467/677 Numerical Methods II
Instructor Course Section Time
------------------------------------------------------------------------
Eric Olson 001 Math 467 INTRO TO ANALYSIS II MWF 10:00-10:50pm AB635
The development of computers in the late 1940's and their great advances
in power over the last fifty years has lead to a revolution in the field
of numerical analysis.
The goal of this course sequence is to provide the student with the numerical
tools and methodology necessary to treat their own problems.
Numerical Methods II will cover
the numerical solution of ordinary differential equations,
initial value problems, boundard value problems and
elliptic, parabolic and hyperbolic partial
differential equations.
Techniques covered will include finite and upwind
difference methods, explicit and implicit methods,
the fast Fourier transform, multigrid, and the fast multipole method.
Note that Math/CS 466/666 Numerical Methods I is not
a prerequisite for this course.
Spring 2008
Course Information
- Instructor:
- Eric Olson
- email:
- ejolson at unr.edu
- Office:
- MWF 11am Ansari Business Building AB 614 and by appointment.
- Homepage:
- http://fractal.math.unr.edu/~ejolson/467/
Required Texts:
- K.W. Morton, D.F. Mayers,
Numerical Solutions of Partial Differential Equations,
Second Edition, 2005, Cambridge University Press.
Optional Texts:
- Arieh Iserles, A First Course in the Numerical
Analysis of Differential Equations, 1996,
Cambridge University Press.
- Jeffery J. Leader,
Numerical Analysis and Scientific Computation, 2004,
Addison Wesley.
-
Donald Greenspan and Vincenzo Casulli, Numerical Analysis for
Applied Mathematics, Science, and Engineering, 1988, Addison-Wesley
Publishing Company.
Course Web Page:
http://fractal.math.unr.edu/~ejolson/467/
Prerequisites: Math 285 Differential Equations.
Note that Math/CS 466/666 Numerical Methods I is not
a prerequisite for this course.
Grading
2 Quizzes 25 points each
4 Homework Assignments 10 points each
4 Prog/MATLAB Assignments 20 points each
1 Midterm Exam 50 points
1 Final Exam 80 points
--------------------------------------------------
300 points total
Programming/MATLAB Assignments
Your work should be presented in the form of a typed report
using clear and properly punctuated English.
Where appropriate include full program listings and output.
If you choose to work in a group of two, please turn in
independently prepared reports.
Final Exam
The final exam will be held on Friday, May 9 at 9:45am-11:45am in AB635.
Equal Opportunity Statement
The Mathematics Department is committed to equal opportunity in
education for all students, including those with documented physical
disabilities or documented learning disabilities. University policy
states that it is the responsibility of students with documented
disabilities to contact instructors during the first week of each
semester to discuss appropriate accommodations to ensure equity in
grading, classroom experiences and outside assignments.
Academic Conduct
Bring your student identification to all exams. Work independently on
all exams and quizzes. Behaviors inappropriate to test taking may disturb other
students and will be considered cheating. Don't talk or pass notes with
other students during an exam. Don't read notes or books while taking
exams given in the classroom.
You may work on the programming assignments in groups of two if
desired.
Homework may be discussed freely.
If you are unclear as to what constitutes cheating, please consult
with me.
Last updated:
Mon Jan 30 09:21:08 PST 2006