
LECTURE: 
Duncan Hall 1075, 9am MWF 


INSTRUCTOR: 
Jesse Chan (jesse.chan@rice.edu)
Duncan Hall 3023, (713) 3486113 


OFFICE HOURS: 
Monday 1011am or by appointment.



PREREQUISITE: 
Background in linear algebra and MATLAB programming.



GRADING: 
50% problem sets, 50% exams 


PROBLEM SETS: 
There will be approximately eight problem sets, each involving both written work
and computational exercises in MATLAB. You are encouraged to discuss these
assignments, but the final writeup (including computer code) must be entirely
your own work. As a rule of thumb, you should spend an hour working
each problem independently before collaborating with a classmate.
You may not consult solutions from previous sections of this class. 


Late policy: Your first two late assignments will not incur a penalty, but each
subsequent late assignment will be penalized 20%. No work will be accepted
more than one class period late without prior arrangement or a written excuse.
(This implies that you may not use two 'lates' on one assignment.) 


EXAMS: 
Two takehome, closed book exams will each account for 25% of the final grade.
These pledged exams must be your individual, unassisted effort. 


TEXTS: 
Lecture notes by Mark Embree.
An Introduction to Numerical Analysis by Endre Süli and David Mayers, Cambridge, 2003.
Numerical Linear Algebra
by Lloyd N. Trefethen and David Bau, III, SIAM, 1997.



SYLLABUS: 
pdf 


RECOMMENDED 
Applied Numerical Linear Algebra by James W. Demmel, SIAM, 1997

READING: 
Numerical Analysis: An Introduction by Walter Gautschi, Birkhauser, 1997


Matrix Computations by Gene H. Golub and Charles F. Van Loan, 3rd ed., Johns Hopkins, 1996


MATLAB Guide
by Desmond J. Higham and Nicholas J. Higham, 2nd ed., SIAM, 2005


Numerical Computing with IEEE Floating Point Arithmethic
by Michael L. Overton, SIAM, 2001


