The EE103 lecture notes and course reader for the 2008-09 Fall Quarter are available here in pdf. For all other course information, homework assignments and solutions, please consult the EEweb course website.

Course reader

The reader can be downloaded in a single pdf file. Printed copies are available from UCLA Academic Publishing.

The following Matlab files are needed for some of the exercises: ch1ex19.m, ch1ex20.m, ch7ex19.m, ch8ex8.m, ch9ex3.m, ch9ex4.m, ch9ex6.m, ch9ex7.m, ch9ex8.m, ch13ex4.m, ch14ex1.m, ch14ex5.m. mylu.m, chop.m.

Lectures notes

The lecture notes give a summary of the material covered in the lectures. They are availabe in two formats: 2 slides per page and 4 slides per page.

1. Vectors (4/page)

2. Matrices (4/page)

3. Linear equations (4/page)

4. Triangular matrices (4/page)

5. The Cholesky factorization (4/page)

6. The LU factorization (4/page)

7. The condition number (4/page)

8. Linear least-squares (4/page)

9. The solution of a least-squares problem (4/page)

10. The QR factorization (4/page)

11. Least-norm problems (4/page)

12. Nonlinear equations with one variable (4/page)

13. Newton’s method for sets of nonlinear equations (4/page)

14. Unconstrained optimization (4/page)

15. Nonlinear least-squares (4/page)

16. IEEE floating point numbers (4/page)

17. Problem conditioning and stability of algorithms (4/page)