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Numerical Analysis I
Information Sheet
MATH 464
Autumn 1999
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Room and Hours:
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Lectures: EE1 042 (Changed to this as of 9/24/99), 9:30-10:20,
MWF,
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Quiz Section: Sav 241 - 9:30-10:20 Th
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Lecturer: David L. Ragozin, e-mail
: rag@math.washington.edu
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Office: Padelford C-337, Phone: 543-1148
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Office Hours: Mon. 10:40AM-Noon, Fri. 1:00-2:00PM and by appointment.
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Stop me after class to find a time if posted hours are not possible. Please
do no hesitate to come to see me. It is much better to raise questions
as soon as they occur, rather than get farther behind.
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TA: Elef Ghioulekas
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Office: Padelford C-8(?),
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Office Hours: To be announced .
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Class Web Site: http://faculty.washington.edu/rag/CLASSES/m464
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Texts:
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Numerical Analysis (required) by L. W. Johnson & R. D.
Riess .
Available at Professional Copy (4200 University Avenue NE).
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Introduction to Scientific Computing with Mathlab (strongly recommended)
by C. van Loan.
Available at the University Bookstore.
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Content:
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Machine arithmetic
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Numerical solutions of systems of linear equations
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Numerical Solution of non-linear equations
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Polynomial interpolation and splines
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Introduction to numerical integration
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Homework:
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Assignments
due each week at the beginning of class each Friday, except for mid term
week when homework is due on Thursday. Working the assigned problems is
essential to learning the material. Homework should be handed in on
time, as solutions will be available on the due date.
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When you write up a homework or test solution, your work should show
that you understand the methods involved. It is not enough to just
give a numerical, or yes/no answer; explanations or supporting work should
always
be supplied.
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Exams:
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There will be one midterm exam (1 hour) and a final(2 hours). For each
exam in class, you will be allowed one hand written 8 by 11 sheet of notes,
and a scientific calculator with no stored formulae or texts, but
otherwise the exams will be closed book.
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Projects: There will be 4 projects:
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Oct 22 Tridiagonal linear systems
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Nov. 5 Gauss-Seidel method
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Nov. 19 Newton's method, fixed point iteration and the secant method
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Dec. 6 Polynomial interpolation
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Exam Schedule:
First exam October 29, 1999
Final Exam December 14, 1999 (Tuesday), 8:30-10:20 in lecture room.
(As listed in the Official UW Exam Schedule)
Grades: Grades are based on exams, projects, and homework. Approximate
weights for each component is as follows:
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Mid-term exam - 20%
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Projects - 20%
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Final - 40%
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Graded homework - 20%
Approximate grade guidelines(for the course and for each exam):
GRADE RANGE % Correct
4.0 > 85%
3.0 - 3.9 70% - 84%
2.0 - 2.9 55% - 69%
1.0 - 1.9 40% - 54%
0.0 < 40%
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