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AMATH 352: Applied Linear Algebra and Numerical Analysis
Winter Quarter 2010
Time:
MW 12:301:20, SIG 134
Time:
F 12:301:20, GWM 301
Instructor
Prof. Ulrich Hetmaniuk
Guggenheim 415D
tel: (206) 685 9298
hetmaniu@u.washington.edu
M, W 13:3014:30, or by appointment
Course webpage:
https://catalysttools.washington.edu/workspace/hetmaniu/9480
Course description:
The course goals are to understand the basic concepts of linear al
gebra and to obtain an introduction to some aspects of computational techniques used in
matrix methods. We will study basic concepts in linear algebra, including vectors, vector
spaces, linear transformations, matrixvector manipulations, solving linear systems, least
squares problems, and eigenvalue problems. Matrix decompositions (e.g. LU, QR, SVD,
etc.) will play a fundamental role throughout the course. The emphasis will be on practical
aspects of linear algebra and numerical methods for solving these problems. Such problems
arise constantly in science, engineering, ﬁnance, computer graphics. Some familiarity with
computer programming is assumed in this course, at the level of CSE 142 or AMATH 301.
You are not expected to know
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